SlideShare a Scribd company logo
1 of 125
Download to read offline
Data Quality Engineering
           TITLE




            This presentation provides guidance to
            organizations considering data quality initiatives
            or preparing for data quality initiatives. This talk
            will illustrate how organizations with chronic
            business challenges often can trace the root of
            the problem to poor data quality. Showing how
            data quality can be engineered provides a
            useful framework in which to develop an
            organizational approach. This in turn will allow
            organizations to more quickly identify data
            problems caused by structural issues versus
            practice-oriented defects. Participants will also                                 Starting

            learn the importance of practicing data quality                                   point
                                                                                              for new
                                                                                              system
                                                                                                               Metadata Creation
                                                                                                               • Define Data Architecture
                                                                                                               • Define Data Model Structures
                                                                                                                                                             Metadata Refinement
                                                                                                                                                             • Correct Structural Defects
                                                                                                                                                             • Update Implementation

            engineering quantification.
                                                                                              development


                                                                                                                                                       architecture
                                                                                                                              data architecture
                                                                                                                                                       refinements

                                                                                               Metadata Structuring                                                             Data Refinement
                                                                                               • Implement Data Model Views                                                     • Correct Data Value Defects
                                                                                               • Populate Data Model Views                                          corrected   • Re-store Data Values
                                                                                                                                                                      data
                                                                                                                      data


               Date: October 9, 2012
                                                                                                                architecture and                   Metadata &
                                                                                                                  data models                     Data Storage
                                                                                                                                                                  data performance metadata
                                                                                                Data Creation                facts &                                                Data Assessment
                                                                                                • Create Data               meanings                                                • Assess Data Values


               Time: 2:00 PM ET                                                                 • Verify Data Values

                                                                                                                              shared data                        updated data
                                                                                                                                                                                    • Assess Metadata



                                                                                                                                                                                              Starting point
                                                                                                                                                                                              for existing


               Presented by: Dr. Peter Aiken
                                                                                                                       Data Utilization                                Data Manipulation      systems
                                                                                                                       • Inspect Data                                  • Manipulate Data
                                                                                                                       • Present Data                                  • Updata Data




           PRODUCED BY                                                                                             CLASSIFICATION DATE                                                      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                EDUCATION                                 10/09/12                                    1
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Commonly Asked Questions




           PRODUCED BY                                                              CLASSIFICATION   DATE   SLIDE

                                                                                    EDUCATION                   2
09/10/12
           DATACopyright this and previous years by Data W. BROAD reserved!
              ©
                BLUEPRINT 10124-C Blueprint - all rights ST, GLEN ALLEN, VA 23060
TITLE
                   Commonly Asked Questions

               1) Will I get copies of
                       the slides after the
                       event?




           PRODUCED BY                                                              CLASSIFICATION   DATE   SLIDE

                                                                                    EDUCATION                   2
09/10/12
           DATACopyright this and previous years by Data W. BROAD reserved!
              ©
                BLUEPRINT 10124-C Blueprint - all rights ST, GLEN ALLEN, VA 23060
TITLE
                   Commonly Asked Questions

               1) Will I get copies of
                       the slides after the
                       event?


               2) Is this being recorded
                       so I can view it
                       afterwards?

           PRODUCED BY                                                              CLASSIFICATION   DATE   SLIDE

                                                                                    EDUCATION                   2
09/10/12
           DATACopyright this and previous years by Data W. BROAD reserved!
              ©
                BLUEPRINT 10124-C Blueprint - all rights ST, GLEN ALLEN, VA 23060
Get Social With Us!
           TITLE




                    Live Twitter Feed                                                         Like Us on Facebook               Join the Group
                     Join the conversation!                                                       www.facebook.com/            Data Management &
                                     Follow us:                                                     datablueprint              Business Intelligence
                            @datablueprint                                                        Post questions and         Ask questions, gain insights
                                                                                                      comments               and collaborate with fellow
                                      @paiken
                                                                                              Find industry news, insightful     data management
                   Ask questions and submit
                                                                                                         content                   professionals
                   your comments: #dataed
                                                                                                  and event updates.


           PRODUCED BY                                                                                                       CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                          EDUCATION     10/09/12           3
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
4 - datablueprint.com   10/16/2012   ©   Copyright this and previous years by Data Blueprint - all rights reserved!
Meet Your Presenter: Dr. Peter Aiken

  • Internationally recognized thought-
    leader in the data management
    field - 30 years of experience
                  – Recipient of multiple international
                    awards
                  – Founder, Data Blueprint
                    (http://datablueprint.com)
  • 7 books and dozens of articles
  • Experienced w/ 500+ data
    management practices in 20
    countries
  • Multi-year immersions with
    organizations as diverse as the
    US DoD, Deutsche Bank, Nokia,
    Wells Fargo, the Commonwealth
    of Virginia and Walmart
4 - datablueprint.com                      10/16/2012   ©   Copyright this and previous years by Data Blueprint - all rights reserved!
Data Quality
                                                                       Engineering




             Data Quality Engineering
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060   EDUCATION   10/09/12
Data Quality
                                                                       Engineering




             Data Quality Engineering
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060   EDUCATION   10/09/12
Data Quality
                                                                       Engineering




             Data Quality Engineering
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060   EDUCATION   10/09/12
Data Quality
                                                                       Engineering




             Data Quality Engineering
DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060   EDUCATION   10/09/12
TITLE
                   Outline




                                                                                                   Tweeting now:
                                                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           6
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction




                                                                                                   Tweeting now:
                                                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           6
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction

           2. Data Quality Definitions & Overview




                                                                                                   Tweeting now:
                                                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           6
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction

           2. Data Quality Definitions & Overview

           3. DQM Cycle




                                                                                                   Tweeting now:
                                                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           6
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction

           2. Data Quality Definitions & Overview

           3. DQM Cycle

           4. DQ Awareness & Requirements




                                                                                                   Tweeting now:
                                                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           6
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction

           2. Data Quality Definitions & Overview

           3. DQM Cycle

           4. DQ Awareness & Requirements

           5. DQ Dimensions




                                                                                                   Tweeting now:
                                                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           6
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction

           2. Data Quality Definitions & Overview

           3. DQM Cycle

           4. DQ Awareness & Requirements

           5. DQ Dimensions

           6. Data Quality Tools


                                                                                                   Tweeting now:
                                                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           6
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction

           2. Data Quality Definitions & Overview

           3. DQM Cycle

           4. DQ Awareness & Requirements

           5. DQ Dimensions

           6. Data Quality Tools

           7. Guiding Principles
                                                                                                   Tweeting now:
                                                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           6
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction

           2. Data Quality Definitions & Overview

           3. DQM Cycle

           4. DQ Awareness & Requirements

           5. DQ Dimensions

           6. Data Quality Tools

           7. Guiding Principles
                                                                                                   Tweeting now:
           8. References and Q&A                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           6
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction

           2. Data Quality Definitions & Overview

           3. DQM Cycle

           4. DQ Awareness & Requirements

           5. DQ Dimensions

           6. Data Quality Tools

           7. Guiding Principles
                                                                                                   Tweeting now:
           8. References and Q&A                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           6
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
           The DAMA Guide to the Data Management Body of Knowledge




                                                                       Data
                                                                    Management
                                                                     Functions
           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           7
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
           The DAMA Guide to the Data Management Body of Knowledge
           Published by DAMA
           International




                                                                       Data
                                                                    Management
                                                                     Functions
           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           7
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
           The DAMA Guide to the Data Management Body of Knowledge
           Published by DAMA
           International
           •       The professional
                   association for Data
                   Managers (40
                   chapters worldwide)




                                                                       Data
                                                                    Management
                                                                     Functions
           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           7
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
           The DAMA Guide to the Data Management Body of Knowledge
           Published by DAMA
           International
           •       The professional
                   association for Data
                   Managers (40
                   chapters worldwide)
           DMBoK organized
           around




                                                                       Data
                                                                    Management
                                                                     Functions
           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           7
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
           The DAMA Guide to the Data Management Body of Knowledge
           Published by DAMA
           International
           •       The professional
                   association for Data
                   Managers (40
                   chapters worldwide)
           DMBoK organized
           around
           •       Primary data
                   management
                   functions focused
                   around data delivery
                   to the organization




                                                                       Data
                                                                    Management
                                                                     Functions
           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           7
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
           The DAMA Guide to the Data Management Body of Knowledge
           Published by DAMA
           International
           •       The professional
                   association for Data
                   Managers (40
                   chapters worldwide)
           DMBoK organized
           around
           •       Primary data
                   management
                   functions focused
                   around data delivery
                   to the organization
           •       Organized around
                   several
                   environmental
                   elements

                                                                       Data
                                                                    Management
                                                                     Functions
           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           7
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
           The DAMA Guide to the Data Management Body of Knowledge
           Published by DAMA
           International
           •       The professional
                   association for Data
                   Managers (40
                   chapters worldwide)
           DMBoK organized
           around
           •       Primary data
                   management
                   functions focused
                   around data delivery
                   to the organization
           •       Organized around
                   several
                   environmental
                   elements

                                                                       Data
                                                                    Management
                                                                     Functions
           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           7
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
           The DAMA Guide to the Data Management Body of Knowledge




           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           8
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
           The DAMA Guide to the Data Management Body of Knowledge




                                                                                              Environmental Elements
           PRODUCED BY                                                                             CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                EDUCATION     10/09/12           8
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
           The DAMA Guide to the Data Management Body of Knowledge

                                                                                                         Amazon:
                                                                                                          http://
                                                                                                          www.amazon.com/
                                                                                                          DAMA-Guide-
                                                                                                          Management-
                                                                                                          Knowledge-DAMA-
                                                                                                          DMBOK/dp/
                                                                                                          0977140083
                                                                                                          Or enter the terms
                                                                                                          "dama dm bok" at the
                                                                                                          Amazon search
                                                                                                          engine




                                                                                              Environmental Elements
           PRODUCED BY                                                                             CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                EDUCATION     10/09/12           8
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                     What is the CDMP?
            • Certified Data Management
              Professional
            • DAMA International and ICCP
            • Membership in a distinct group made
              up of your fellow professionals
            • Recognition for your specialized
              knowledge in a choice of 17 specialty
              areas
            • Series of 3 exams
            • For more information, please visit:
                         – http://www.dama.org/i4a/pages/
                           index.cfm?pageid=3399
                         – http://iccp.org/certification/
                           designations/cdmp
                                                                                                       #dataed
         PRODUCED BY                                                           CLASSIFICATION   DATE        SLIDE
         DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060              EDUCATION        5/15/2012           9
© Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                                                                                  Data Management




       PRODUCED BY                                                                              CLASSIFICATION DATE      SLIDE
       DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                 EDUCATION     10/09/12           10
1/26/2010
10/04/12    © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                                                                                  Data Management

                Data Program
                Coordination


                                                                    Organizational
                                                                    Data Integration




                                                                                           Data Stewardship                   Data Development




                                                                                                              Data Support
                                                                                                               Operations




       PRODUCED BY                                                                                                           CLASSIFICATION DATE      SLIDE
       DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                              EDUCATION     10/09/12           11
1/26/2010
10/04/12    © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                                                                                  Data Management
                                         Manage data coherently.

                Data Program
                Coordination


                                                                    Organizational
                                                                    Data Integration




                                                                                           Data Stewardship                   Data Development




                                                                                                              Data Support
                                                                                                               Operations




       PRODUCED BY                                                                                                           CLASSIFICATION DATE      SLIDE
       DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                              EDUCATION     10/09/12           11
1/26/2010
10/04/12    © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                                                                                  Data Management
                                         Manage data coherently.

                Data Program
                Coordination
                                                                                                              Share data across boundaries.
                                                                    Organizational
                                                                    Data Integration




                                                                                           Data Stewardship                     Data Development




                                                                                                                Data Support
                                                                                                                 Operations




       PRODUCED BY                                                                                                             CLASSIFICATION DATE      SLIDE
       DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                EDUCATION     10/09/12           11
1/26/2010
10/04/12    © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                                                                                   Data Management
                                          Manage data coherently.

                 Data Program
                 Coordination
                                                                                                               Share data across boundaries.
                                                                     Organizational
                                                                     Data Integration




                                                                                            Data Stewardship                     Data Development



            Assign responsibilities for data.



                                                                                                                 Data Support
                                                                                                                  Operations




       PRODUCED BY                                                                                                              CLASSIFICATION DATE      SLIDE
       DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                 EDUCATION     10/09/12           11
1/26/2010
10/04/12     © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                                                                                   Data Management
                                          Manage data coherently.

                 Data Program
                 Coordination
                                                                                                               Share data across boundaries.
                                                                     Organizational
                                                                     Data Integration




                                                                                            Data Stewardship                     Data Development



            Assign responsibilities for data.
                                                                                                                  Engineer data delivery systems.


                                                                                                                 Data Support
                                                                                                                  Operations




       PRODUCED BY                                                                                                              CLASSIFICATION DATE      SLIDE
       DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                 EDUCATION     10/09/12           11
1/26/2010
10/04/12     © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                                                                                   Data Management
                                          Manage data coherently.

                 Data Program
                 Coordination
                                                                                                               Share data across boundaries.
                                                                     Organizational
                                                                     Data Integration




                                                                                            Data Stewardship                     Data Development



            Assign responsibilities for data.
                                                                                                                  Engineer data delivery systems.


                                                                                                                 Data Support
                                                                                                                  Operations

                                     Maintain data availability.



       PRODUCED BY                                                                                                              CLASSIFICATION DATE      SLIDE
       DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                 EDUCATION     10/09/12           11
1/26/2010
10/04/12     © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                                                                                     Data Management




           PRODUCED BY                                                                             CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                EDUCATION     10/09/12           12
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                                    Overview: Data Quality Engineering




                                                                                from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
       PRODUCED BY                                                                                                                 CLASSIFICATION DATE           SLIDE
       DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                    EDUCATION        10/09/12             13
1/26/2010
10/04/12    © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                                    Overview: Data Quality Engineering




                                                                                from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
       PRODUCED BY                                                                                                                 CLASSIFICATION DATE           SLIDE
       DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                    EDUCATION        10/09/12             14
1/26/2010
10/04/12    © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction

           2. Data Quality Definitions & Overview

           3. DQM Cycle

           4. DQ Awareness & Requirements

           5. DQ Dimensions

           6. Data Quality Tools

           7. Guiding Principles
                                                                                                   Tweeting now:
           8. References and Q&A                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           15
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction

           2. Data Quality Definitions & Overview

           3. DQM Cycle

           4. DQ Awareness & Requirements

           5. DQ Dimensions

           6. Data Quality Tools

           7. Guiding Principles
                                                                                                   Tweeting now:
           8. References and Q&A                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           15
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE

                   Definitions




                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/2012
                                                                                                                                                       10/09/12             16
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE

                   Definitions
            Data Quality Management




                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/2012
                                                                                                                                                       10/09/12             16
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE

                   Definitions
            Data Quality Management
            • Planning, implementation and control activities that
              apply quality management techniques to measure,
              assess, improve, and ensure the fitness of data for
              use




                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/2012
                                                                                                                                                       10/09/12             16
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE

                   Definitions
            Data Quality Management
            • Planning, implementation and control activities that
              apply quality management techniques to measure,
              assess, improve, and ensure the fitness of data for
              use
            • Entails the establishment and deployment of roles,
              responsibilities concerning the acquisition,
              maintenance, dissemination, and disposition of
              data.” http://www2.sas.com/proceedings/sugi29/098-29.pdf




                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/2012
                                                                                                                                                       10/09/12             16
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE

                   Definitions
            Data Quality Management
            • Planning, implementation and control activities that
              apply quality management techniques to measure,
              assess, improve, and ensure the fitness of data for
              use
            • Entails the establishment and deployment of roles,
              responsibilities concerning the acquisition,
              maintenance, dissemination, and disposition of
              data.” http://www2.sas.com/proceedings/sugi29/098-29.pdf
            • Critical support process in organizational change management
            • Continuous process for defining the parameters for specifying
              acceptable levels of data quality to meet business needs and for
              ensuring that data quality meets these levels
            Data Quality
            • Synonymous with information quality, since poor data quality results
              in inaccurate information and poor business performance
                                                                                    from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                 CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                    EDUCATION        10/09/2012
                                                                                                                                                        10/09/12             16
10/04/12        © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Overview: DQM Concepts and Activities
            1)          Data Quality Management Approach
            2)          Develop and promote data quality awareness
            3)          Define data quality requirements
            4)          Profile, analyze and assess data quality
            5)          Define data quality metrics
            6)          Define data quality business rules
            7)          Test and validate data quality requirements
            8)          Set and evaluate data quality service levels
            9)          Measure and monitor data quality
            10)         Manage data quality issues
            11)         Clean and correct data quality defects
            12)         Design and implement operational DQM procedures
            13)         Monitor operational DQM procedures and performance
                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             17
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Concepts and Activities




                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             18
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Concepts and Activities
                   Data quality expectations provide the inputs
                   necessary to define the data quality framework:
                     – Requirements
                     – Inspection policies
                     – Measures, and monitors that reflect changes in data
                       quality and performance




                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             18
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Concepts and Activities
                   Data quality expectations provide the inputs
                   necessary to define the data quality framework:
                     – Requirements
                     – Inspection policies
                     – Measures, and monitors that reflect changes in data
                       quality and performance
           • The data quality framework requirements reflect 3
             aspects of business data expectations
                     1) A manner to record the expectation in business rules
                     2) A way to measure the quality of data within that
                        dimension
                     3) An acceptability threshold
                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             18
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction

           2. Data Quality Definitions & Overview

           3. DQM Cycle

           4. DQ Awareness & Requirements

           5. DQ Dimensions

           6. Data Quality Tools

           7. Guiding Principles
                                                                                                   Tweeting now:
           8. References and Q&A                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           19
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction

           2. Data Quality Definitions & Overview

           3. DQM Cycle

           4. DQ Awareness & Requirements

           5. DQ Dimensions

           6. Data Quality Tools

           7. Guiding Principles
                                                                                                   Tweeting now:
           8. References and Q&A                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           19
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   The DQM Cycle
            The general approach to DQM
            is a version of the Deming
            cycle.
            Deming proposes a problem–solving
            model known as “plan-do-study-act”
            or “plan-do-check-act”


            The cycle begins by:
             1) Identifying data issues that are
                critical to the achievement of
                business objectives

             2) Defining business requirements for data quality
             3) Identifying key data quality dimensions
             4) Defining business rules critical to ensuring high quality data
                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             20
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   The DQM Cycle
            The general approach to DQM
            is a version of the Deming
            cycle.
            Deming proposes a problem–solving
            model known as “plan-do-study-act”
            or “plan-do-check-act”


            The cycle begins by:
             1) Identifying data issues that are
                critical to the achievement of
                business objectives

             2) Defining business requirements for data quality
             3) Identifying key data quality dimensions
             4) Defining business rules critical to ensuring high quality data
                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             20
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   The DQM Cycle: (1) Plan
            Plan for the assessment of
            the current state and
            identification of key metrics
            for measuring quality
            • The data quality team
              assesses the scope of
              known issues
            • This involves:
                      – Determining cost and
                        impact
                      – Evaluating alternatives for
                        addressing them
                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             21
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   The DQM Cycle: (2) Deploy
            Deploy processes for
            measuring and improving
            the quality of data:
            • Data profiling
            • Institute inspections and
              monitors to identify data issues
              when they occur
            • Fix flawed processes that are
              the root cause of data errors or
              correct errors downstream
            • When it is not possible to
              correct errors at their source,
              correct them at their earliest
              point in the data flow
                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             22
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   The DQM Cycle: (3) Monitor
            Monitor the quality of data as
            measured against the defined
            business rules
            • If data quality meets defined
              thresholds for acceptability,
              the processes are in control
              and the level of data quality
              meets the business
              requirements
            • If data quality falls below
              acceptability thresholds,
              notify data stewards so they
              can take action during the
              next stage
                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             23
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   The DQM Cycle: (4) Act
            Act to resolve any
              identified issues to
              improve data quality and
              better meet business
              expectations
            • New cycles begin as
              new data sets come
              under investigation or as
              new data quality
              requirements are
              identified for existing
              data sets
                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             24
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction

           2. Data Quality Definitions & Overview

           3. DQM Cycle

           4. DQ Awareness & Requirements

           5. DQ Dimensions

           6. Data Quality Tools

           7. Guiding Principles
                                                                                                   Tweeting now:
           8. References and Q&A                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           25
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction

           2. Data Quality Definitions & Overview

           3. DQM Cycle

           4. DQ Awareness & Requirements

           5. DQ Dimensions

           6. Data Quality Tools

           7. Guiding Principles
                                                                                                   Tweeting now:
           8. References and Q&A                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           25
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Develop and Promote DQ Awareness




                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             26
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Develop and Promote DQ Awareness
            •       Promoting data quality awareness is
                    essential to ensure buy-in of necessary
                    stakeholders in the organization




                                                                                    from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                 CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                    EDUCATION        10/09/12             26
10/04/12        © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Develop and Promote DQ Awareness
            •       Promoting data quality awareness is
                    essential to ensure buy-in of necessary
                    stakeholders in the organization
            •       Ensure that the right people in the
                    organization are aware of the existence
                    of data quality issues




                                                                                    from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                 CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                    EDUCATION        10/09/12             26
10/04/12        © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Develop and Promote DQ Awareness
            •       Promoting data quality awareness is
                    essential to ensure buy-in of necessary
                    stakeholders in the organization
            •       Ensure that the right people in the
                    organization are aware of the existence
                    of data quality issues
            •       Awareness increases the chance of
                    success of any DQM program




                                                                                    from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                 CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                    EDUCATION        10/09/12             26
10/04/12        © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Develop and Promote DQ Awareness
            •       Promoting data quality awareness is
                    essential to ensure buy-in of necessary
                    stakeholders in the organization
            •       Ensure that the right people in the
                    organization are aware of the existence
                    of data quality issues
            •       Awareness increases the chance of
                    success of any DQM program
            •       Awareness includes:
                       – Relating material impacts to data issues
                       – Ensuring systematic approaches to
                         regulators
                       – Oversight of the quality of organizational
                         data
                       – Socializing the concept that data quality
                         problems cannot be solely addressed by
                         technology solutions
                                                                                    from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                 CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                    EDUCATION        10/09/12             26
10/04/12        © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Polling Question #1
            Which is not a step to promote data quality
            awareness?
                    a) Training on the core
                       concepts of data quality

                    b) Establish data governance
                       framework for data quality

                    c) Create a data architecture
                       map



           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           27
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Develop and Promote DQ Awareness: Steps




                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             28
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Develop and Promote DQ Awareness: Steps
            1) Training on the core
               concepts of data quality




                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             28
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Develop and Promote DQ Awareness: Steps
            1) Training on the core
               concepts of data quality
            2) Establish data governance
               framework for data quality




                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             28
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Develop and Promote DQ Awareness: Steps
            1) Training on the core
               concepts of data quality
            2) Establish data governance
               framework for data quality
            3) Create a data quality
               oversight board that has a
               reporting hierarchy
               associated with the
               different data governance
               roles
                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             28
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Define DQ Requirements
            • Data quality must be understood within the context of ‘fitness for
              use’
            • Data quality requirements are often hidden within defined
              business policies
            • Incremental detailed review and iterative refinement of business
              policies helps to identify those information requirements which
              become data quality rules
            • Steps for incremental detailed review:
                      – Identify key data components associated with business policies
                      – Determine how identified data assertions affect the business
                      – Evaluate how data errors are categorized within a set of data quality
                        dimensions
                      – Specify the business rules that measure the occurrence of data
                        errors
                      – Provide a means for implementing measurement processes that
                        assess conformance to those business rules
                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE          SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12           29
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Data Quality Dimensions




                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             30
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Profile, Analyze and Assess DQ
            Data assessment using 2 different approaches:
                      1) Bottom-up
                      2) Top-down
            Bottom-up assessment:
                                    • Inspection and evaluation of the data sets
                                    • Highlight potential issues based on the results of automated
                                      processes


            Top-down assessment:
                                    • Engage business users to document their business processes
                                      and the corresponding critical data dependencies
                                    • Understand how their processes consume data and which
                                      data elements are critical to the success of the business
                                      application
                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             31
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE

                   Define DQ Metrics
            • Metrics development occurs as part of the
              strategy/design/plan step
            • Process for defining data quality metrics:
                      1) Select one of the identified critical business impacts
                      2) Evaluate the dependent data elements, create and
                         update processes associate with that business
                         impact
                      3) List any associated data requirements
                      4) Specify the associated dimension of data quality and
                         one or more business rules to use to determine
                         conformance of the data to expectations
                      5) Describe the process for measuring conformance
                      6) Specify an acceptability threshold
                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             32
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Test and Validate DQ Requirements
            • Data profiling tools
              analyze data to find
              potential anomalies

            • Use the same tools
              for rule validation

            • Rules discovered or defined during the
              data quality assessment phase are
              referenced in measuring conformance as
              part of the operational process
                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             33
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Set and Evaluate DQ Service Levels
            • Data quality inspection and monitoring are used to
              measure and monitor compliance with defined data
              quality rules
            • Data quality SLAs specify the organization’s expectations
              for response and remediation
            • Operational data quality control defined in data quality
              SLAs includes:
                      – Data elements covered by the agreement
                      – Business impacts associated with data flaws
                      – Data quality dimensions associated with each data element
                      – Quality expectations for each data element of the indentified
                        dimensions in each application for system in the value chain
                      – Methods for measuring against those expectations
                      – (…)                                                        from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             34
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Measure and Monitor DQ
            • DQM procedures depend on available data
              quality measuring and monitoring services
            • 2 contexts for control/measurement of
              conformance to data quality business rules exist:
                      – In-stream: collect in-stream measurements while
                        creating data
                      – In batch: perform batch activities on collections of data
                        instances assembled in a data set
            • Apply measurements at 3 levels of granularity:
                      – Data element value
                      – Data instance or record
                      – Data set                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             35
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
Clean & Correct
                Manage DQ Issues
                                                                                                                           DQ Defects
            •       Supporting the enforcement of                                                                     Perform data correction
                    the data quality SLA requires a
                    mechanism for reporting and                                                                       in 3 ways:
                    tracking data quality incidents                                                                   1)      Automated correction
                    and activities for researching                                                                    2)      Manual directed correction
                    and resolving those incidents                                                                     3)      Manual correction
            •       A data quality incident
                    reporting system can provide
                    this capability

            •       It can log the evaluation, initial
                    diagnosis, and actions
                    associated with data quality
                    events
                                                                                    from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                 CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                    EDUCATION        10/09/12             36
10/04/12        © Copyright this and previous years by Data Blueprint - all rights reserved!
Manage DQ Issues: Example
           TITLE




             Data quality incident tracking focuses on training staff to recognize
             when data issues appear and how they are to be classified, logged and
             tracked according to the data quality SLA
                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             37
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
Design and Implement                                                                              Monitor Operational
                      Operational DQM                                                                                DQM Procedures and
                         Procedures                                                                                       Performances
            1)      Inspection and monitoring                                                                      1) Accountability is critical
            2)      Diagnosis and evaluation                                                                          to governance
                    of remediation                                                                                    protocols overseeing
                    alternatives                                                                                      data quality control
            3)      Resolve issues                                                                                 2) All issues must be
            4)      Reporting                                                                                         assigned
                                                                                                                   3) The tracking process
                                                                                                                      should specify and
                                                                                                                      document the ultimate
                                                                                                                      issue accountability


                                                                                   from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International
           PRODUCED BY                                                                                                                CLASSIFICATION DATE           SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                                                   EDUCATION        10/09/12             38
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction

           2. Data Quality Definitions & Overview

           3. DQM Cycle

           4. DQ Awareness & Requirements

           5. DQ Dimensions

           6. Data Quality Tools

           7. Guiding Principles
                                                                                                   Tweeting now:
           8. References and Q&A                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           39
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Outline
           1. Data Management Introduction

           2. Data Quality Definitions & Overview

           3. DQM Cycle

           4. DQ Awareness & Requirements

           5. DQ Dimensions

           6. Data Quality Tools

           7. Guiding Principles
                                                                                                   Tweeting now:
           8. References and Q&A                                                                     #dataed

           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           39
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Example: Data Quality Interview Session Summary
              • During mid-February, the Data Governance Team and Data
                Blueprint conducted ten qualitative interview sessions with groups
                of individuals who interact with data on regular basis
              • A series of patterns emerged as participants shared stories about
                the impact of poor data quality on the client, its products, and its
                customers
              • These patterns highlight gaps in best
                practices for ensuring data quality,
                i.e. the extent to which data is
                “fit for use”
              • Our preliminary analysis evaluated
                these stories against attributes of four
                data quality dimensions
              • At this early stage of the post-interview
                process, we are seeking confirmation of
                our assumptions and method
           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           40
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Which Activities Support Quality Data?
              • Data quality best practices depend on both
                – Practice-oriented activities
                – Structure-oriented activities



                                                                                              Quality
                    Practice-oriented                                                          Data     Structure-oriented
                    activities focus on                                                                 activities focus on
                    the capture and                                                                     the data
                    manipulation of data                                                                implementation




           PRODUCED BY                                                                                     CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                        EDUCATION     10/09/12           41
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Quality Dimensions
            Practice-oriented causes
            • Stem from a failure to rigor when
              capturing and manipulating data
              such as:
                      – Edit masking
                      – Range checking of input data
                      – CRC-checking of transmitted data
            Structure-oriented causes
            • Occur because of data and metadata that has been arranged
              imperfectly. For example:
                      – When the data is in the system but we just can't access it;
                      – When a correct data value is provided as the wrong response to
                        a query; or
                      – When data is not provided because it is unavailable or
                        inaccessible to the customer
            • Developer focus within system boundaries instead of within
              organization boundaries
           PRODUCED BY                                                                        CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/12           42
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Practice-Oriented Activities
             • Affect the Data Value Quality and Data Representation
               Quality
             • Examples of improper practice-oriented activities:
                – Allowing imprecise or incorrect data to be collected when
                  requirements specify otherwise
                – Presenting data out of sequence
             • Typically diagnosed in bottom-up manner: find and fix the
               resulting problem
             • Addressed by imposing more rigorous data-handling
               governance

                                                                                   Practice-oriented activities
                                                                               Quality of            Quality of
                                                                              Data Values              Data
                                                                                                   Representatio
                                                                                                        n
           PRODUCED BY                                                                                      CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                         EDUCATION     10/09/12           43
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   Structure-Oriented Activities
             • Affect the Data Model Quality and Data Architecture Quality
             • Examples of improper structure-oriented activities:
                – Providing a correct response but incomplete data to a
                  query because the user did not comprehend the system
                  data structure
                – Costly maintenance of inconsistent data used by
                  redundant systems
             • Typically diagnosed in top-down manner: root cause fixes
             • Addressed through fundamental data structure governance


                                                                            Structure-oriented activities

                                                                         Quality of            Quality of
                                                                        Data Models              Data
                                                                                              Architecture

           PRODUCED BY                                                                                 CLASSIFICATION DATE      SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                                    EDUCATION     10/09/12           44
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
TITLE
                   4 Dimensions of Data Quality
                                 An organization’s overall data quality is a function of four
                                   distinct components, each with its own attributes:
                                 • Data Value: the quality of data as stored & maintained in
                                   the system
           Practice-
           oriented



                                 • Data Representation – the quality of representation for
                                   stored values; perfect data values stored in a system that
                                   are inappropriately represented can be harmful
                                 • Data Model – the quality of data logically representing
                                   user requirements related to data entities, associated
                                   attributes, and their relationships; essential for effective
           Structure-




                                   communication among data suppliers and consumers
            oriented




                                 • Data Architecture – the coordination of data
                                   management activities in cross-functional system
                                   development and operations

           PRODUCED BY                                                                        CLASSIFICATION DATE        SLIDE
           DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060                           EDUCATION     10/09/2012
                                                                                                            10/09/12             45
10/04/12       © Copyright this and previous years by Data Blueprint - all rights reserved!
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges
Data-Ed Online: Engineering Solutions to Data Quality Challenges

More Related Content

What's hot

Data-Ed Webinar: Implementing the Data Management Maturity Model (DMM) - With...
Data-Ed Webinar: Implementing the Data Management Maturity Model (DMM) - With...Data-Ed Webinar: Implementing the Data Management Maturity Model (DMM) - With...
Data-Ed Webinar: Implementing the Data Management Maturity Model (DMM) - With...DATAVERSITY
 
Introduction to DCAM, the Data Management Capability Assessment Model
Introduction to DCAM, the Data Management Capability Assessment ModelIntroduction to DCAM, the Data Management Capability Assessment Model
Introduction to DCAM, the Data Management Capability Assessment ModelElement22
 
Data Quality Management: Cleaner Data, Better Reporting
Data Quality Management: Cleaner Data, Better ReportingData Quality Management: Cleaner Data, Better Reporting
Data Quality Management: Cleaner Data, Better Reportingaccenture
 
A Data Management Maturity Model Case Study
A Data Management Maturity Model Case StudyA Data Management Maturity Model Case Study
A Data Management Maturity Model Case StudyDATAVERSITY
 
Data quality and data profiling
Data quality and data profilingData quality and data profiling
Data quality and data profilingShailja Khurana
 
5 Level of MDM Maturity
5 Level of MDM Maturity5 Level of MDM Maturity
5 Level of MDM MaturityPanaEk Warawit
 
The 4th Generation Kingland platform
The 4th Generation Kingland platformThe 4th Generation Kingland platform
The 4th Generation Kingland platformKingland
 
Is Your Data Ready to Drive Your Company's Future?
Is Your Data Ready to Drive Your Company's Future?Is Your Data Ready to Drive Your Company's Future?
Is Your Data Ready to Drive Your Company's Future?Edgewater
 
Data Quality - Standards and Application to Open Data
Data Quality - Standards and Application to Open DataData Quality - Standards and Application to Open Data
Data Quality - Standards and Application to Open DataMarco Torchiano
 
Introduction to DCAM, the Data Management Capability Assessment Model - Editi...
Introduction to DCAM, the Data Management Capability Assessment Model - Editi...Introduction to DCAM, the Data Management Capability Assessment Model - Editi...
Introduction to DCAM, the Data Management Capability Assessment Model - Editi...Element22
 
Data quality and bi
Data quality and biData quality and bi
Data quality and bijeffd00
 
The Data Driven University - Automating Data Governance and Stewardship in Au...
The Data Driven University - Automating Data Governance and Stewardship in Au...The Data Driven University - Automating Data Governance and Stewardship in Au...
The Data Driven University - Automating Data Governance and Stewardship in Au...Pieter De Leenheer
 
MDM Strategy & Roadmap
MDM Strategy & RoadmapMDM Strategy & Roadmap
MDM Strategy & Roadmapvictorlbrown
 
MEASURE Evaluation Data Quality Assessment Methodology and Tools
MEASURE Evaluation Data Quality Assessment Methodology and ToolsMEASURE Evaluation Data Quality Assessment Methodology and Tools
MEASURE Evaluation Data Quality Assessment Methodology and ToolsMEASURE Evaluation
 
Data Quality
Data QualityData Quality
Data Qualityjerdeb
 
Best Practices with the DMM
Best Practices with the DMMBest Practices with the DMM
Best Practices with the DMMDATAVERSITY
 
Data-Ed Webinar: Data Governance Strategies
Data-Ed Webinar: Data Governance StrategiesData-Ed Webinar: Data Governance Strategies
Data-Ed Webinar: Data Governance StrategiesDATAVERSITY
 
Enterprise Data Management Enables Unique Device Identification (UDI)
Enterprise Data Management Enables Unique Device Identification (UDI)Enterprise Data Management Enables Unique Device Identification (UDI)
Enterprise Data Management Enables Unique Device Identification (UDI)First San Francisco Partners
 

What's hot (20)

Data-Ed Webinar: Implementing the Data Management Maturity Model (DMM) - With...
Data-Ed Webinar: Implementing the Data Management Maturity Model (DMM) - With...Data-Ed Webinar: Implementing the Data Management Maturity Model (DMM) - With...
Data-Ed Webinar: Implementing the Data Management Maturity Model (DMM) - With...
 
Introduction to DCAM, the Data Management Capability Assessment Model
Introduction to DCAM, the Data Management Capability Assessment ModelIntroduction to DCAM, the Data Management Capability Assessment Model
Introduction to DCAM, the Data Management Capability Assessment Model
 
Data Quality Management: Cleaner Data, Better Reporting
Data Quality Management: Cleaner Data, Better ReportingData Quality Management: Cleaner Data, Better Reporting
Data Quality Management: Cleaner Data, Better Reporting
 
A Data Management Maturity Model Case Study
A Data Management Maturity Model Case StudyA Data Management Maturity Model Case Study
A Data Management Maturity Model Case Study
 
Data Quality Presentation
Data Quality PresentationData Quality Presentation
Data Quality Presentation
 
Data quality and data profiling
Data quality and data profilingData quality and data profiling
Data quality and data profiling
 
5 Level of MDM Maturity
5 Level of MDM Maturity5 Level of MDM Maturity
5 Level of MDM Maturity
 
The 4th Generation Kingland platform
The 4th Generation Kingland platformThe 4th Generation Kingland platform
The 4th Generation Kingland platform
 
Data Governance
Data GovernanceData Governance
Data Governance
 
Is Your Data Ready to Drive Your Company's Future?
Is Your Data Ready to Drive Your Company's Future?Is Your Data Ready to Drive Your Company's Future?
Is Your Data Ready to Drive Your Company's Future?
 
Data Quality - Standards and Application to Open Data
Data Quality - Standards and Application to Open DataData Quality - Standards and Application to Open Data
Data Quality - Standards and Application to Open Data
 
Introduction to DCAM, the Data Management Capability Assessment Model - Editi...
Introduction to DCAM, the Data Management Capability Assessment Model - Editi...Introduction to DCAM, the Data Management Capability Assessment Model - Editi...
Introduction to DCAM, the Data Management Capability Assessment Model - Editi...
 
Data quality and bi
Data quality and biData quality and bi
Data quality and bi
 
The Data Driven University - Automating Data Governance and Stewardship in Au...
The Data Driven University - Automating Data Governance and Stewardship in Au...The Data Driven University - Automating Data Governance and Stewardship in Au...
The Data Driven University - Automating Data Governance and Stewardship in Au...
 
MDM Strategy & Roadmap
MDM Strategy & RoadmapMDM Strategy & Roadmap
MDM Strategy & Roadmap
 
MEASURE Evaluation Data Quality Assessment Methodology and Tools
MEASURE Evaluation Data Quality Assessment Methodology and ToolsMEASURE Evaluation Data Quality Assessment Methodology and Tools
MEASURE Evaluation Data Quality Assessment Methodology and Tools
 
Data Quality
Data QualityData Quality
Data Quality
 
Best Practices with the DMM
Best Practices with the DMMBest Practices with the DMM
Best Practices with the DMM
 
Data-Ed Webinar: Data Governance Strategies
Data-Ed Webinar: Data Governance StrategiesData-Ed Webinar: Data Governance Strategies
Data-Ed Webinar: Data Governance Strategies
 
Enterprise Data Management Enables Unique Device Identification (UDI)
Enterprise Data Management Enables Unique Device Identification (UDI)Enterprise Data Management Enables Unique Device Identification (UDI)
Enterprise Data Management Enables Unique Device Identification (UDI)
 

Viewers also liked

Data-Ed: Monetizing Data Management
Data-Ed: Monetizing Data Management Data-Ed: Monetizing Data Management
Data-Ed: Monetizing Data Management Data Blueprint
 
Data-Ed Online: Your Documents and Other Content: Managing Unstructured Data
Data-Ed Online: Your Documents and Other Content: Managing Unstructured Data  Data-Ed Online: Your Documents and Other Content: Managing Unstructured Data
Data-Ed Online: Your Documents and Other Content: Managing Unstructured Data Data Blueprint
 
Data-Ed: Unlock Business Value through Data Quality Engineering
Data-Ed: Unlock Business Value through Data Quality Engineering Data-Ed: Unlock Business Value through Data Quality Engineering
Data-Ed: Unlock Business Value through Data Quality Engineering Data Blueprint
 
Data-Ed Online: Let's Talk Metadata: Strategies and Successes
Data-Ed Online: Let's Talk Metadata: Strategies and Successes Data-Ed Online: Let's Talk Metadata: Strategies and Successes
Data-Ed Online: Let's Talk Metadata: Strategies and Successes Data Blueprint
 
Data-Ed: Unlock Business Value through Document & Content Management
Data-Ed: Unlock Business Value through Document & Content ManagementData-Ed: Unlock Business Value through Document & Content Management
Data-Ed: Unlock Business Value through Document & Content ManagementData Blueprint
 
Data Systems Integration & Business Value Pt. 2: Cloud
Data Systems Integration & Business Value Pt. 2: CloudData Systems Integration & Business Value Pt. 2: Cloud
Data Systems Integration & Business Value Pt. 2: CloudData Blueprint
 
Data-Ed: Show Me the Money: The Business Value of Data and ROI
Data-Ed: Show Me the Money: The Business Value of Data and ROIData-Ed: Show Me the Money: The Business Value of Data and ROI
Data-Ed: Show Me the Money: The Business Value of Data and ROIData Blueprint
 
Data-Ed: Unlock Business Value through Data Governance
Data-Ed: Unlock Business Value through Data GovernanceData-Ed: Unlock Business Value through Data Governance
Data-Ed: Unlock Business Value through Data GovernanceData Blueprint
 
Data-Ed: Unlock Business Value Through Reference & MDM
Data-Ed: Unlock Business Value Through Reference & MDM Data-Ed: Unlock Business Value Through Reference & MDM
Data-Ed: Unlock Business Value Through Reference & MDM Data Blueprint
 
Data-Ed Online: Practical Data Modeling
Data-Ed Online: Practical Data ModelingData-Ed Online: Practical Data Modeling
Data-Ed Online: Practical Data ModelingData Blueprint
 
Data-Ed: Data Architecture Requirements
Data-Ed: Data Architecture Requirements Data-Ed: Data Architecture Requirements
Data-Ed: Data Architecture Requirements Data Blueprint
 
Data-Ed: Building the Case for the Top Data Job
Data-Ed: Building the Case for the Top Data JobData-Ed: Building the Case for the Top Data Job
Data-Ed: Building the Case for the Top Data JobData Blueprint
 

Viewers also liked (12)

Data-Ed: Monetizing Data Management
Data-Ed: Monetizing Data Management Data-Ed: Monetizing Data Management
Data-Ed: Monetizing Data Management
 
Data-Ed Online: Your Documents and Other Content: Managing Unstructured Data
Data-Ed Online: Your Documents and Other Content: Managing Unstructured Data  Data-Ed Online: Your Documents and Other Content: Managing Unstructured Data
Data-Ed Online: Your Documents and Other Content: Managing Unstructured Data
 
Data-Ed: Unlock Business Value through Data Quality Engineering
Data-Ed: Unlock Business Value through Data Quality Engineering Data-Ed: Unlock Business Value through Data Quality Engineering
Data-Ed: Unlock Business Value through Data Quality Engineering
 
Data-Ed Online: Let's Talk Metadata: Strategies and Successes
Data-Ed Online: Let's Talk Metadata: Strategies and Successes Data-Ed Online: Let's Talk Metadata: Strategies and Successes
Data-Ed Online: Let's Talk Metadata: Strategies and Successes
 
Data-Ed: Unlock Business Value through Document & Content Management
Data-Ed: Unlock Business Value through Document & Content ManagementData-Ed: Unlock Business Value through Document & Content Management
Data-Ed: Unlock Business Value through Document & Content Management
 
Data Systems Integration & Business Value Pt. 2: Cloud
Data Systems Integration & Business Value Pt. 2: CloudData Systems Integration & Business Value Pt. 2: Cloud
Data Systems Integration & Business Value Pt. 2: Cloud
 
Data-Ed: Show Me the Money: The Business Value of Data and ROI
Data-Ed: Show Me the Money: The Business Value of Data and ROIData-Ed: Show Me the Money: The Business Value of Data and ROI
Data-Ed: Show Me the Money: The Business Value of Data and ROI
 
Data-Ed: Unlock Business Value through Data Governance
Data-Ed: Unlock Business Value through Data GovernanceData-Ed: Unlock Business Value through Data Governance
Data-Ed: Unlock Business Value through Data Governance
 
Data-Ed: Unlock Business Value Through Reference & MDM
Data-Ed: Unlock Business Value Through Reference & MDM Data-Ed: Unlock Business Value Through Reference & MDM
Data-Ed: Unlock Business Value Through Reference & MDM
 
Data-Ed Online: Practical Data Modeling
Data-Ed Online: Practical Data ModelingData-Ed Online: Practical Data Modeling
Data-Ed Online: Practical Data Modeling
 
Data-Ed: Data Architecture Requirements
Data-Ed: Data Architecture Requirements Data-Ed: Data Architecture Requirements
Data-Ed: Data Architecture Requirements
 
Data-Ed: Building the Case for the Top Data Job
Data-Ed: Building the Case for the Top Data JobData-Ed: Building the Case for the Top Data Job
Data-Ed: Building the Case for the Top Data Job
 

Similar to Data-Ed Online: Engineering Solutions to Data Quality Challenges

Data-Ed Engineering Solutions to Data Quality Challenges
Data-Ed Engineering Solutions to Data Quality ChallengesData-Ed Engineering Solutions to Data Quality Challenges
Data-Ed Engineering Solutions to Data Quality ChallengesDATAVERSITY
 
Zakipoint Introduction
Zakipoint IntroductionZakipoint Introduction
Zakipoint Introductionrameshkbudhani
 
Getting Cloud Architecture Right the First Time Ver 2
Getting Cloud Architecture Right the First Time Ver 2Getting Cloud Architecture Right the First Time Ver 2
Getting Cloud Architecture Right the First Time Ver 2David Linthicum
 
Sybase whats in_your_architecture_wp
Sybase whats in_your_architecture_wpSybase whats in_your_architecture_wp
Sybase whats in_your_architecture_wpSybase Türkiye
 
Agile Business Intelligence
Agile Business IntelligenceAgile Business Intelligence
Agile Business IntelligenceDon Jackson
 
Insightful Marketing Analytics
Insightful Marketing AnalyticsInsightful Marketing Analytics
Insightful Marketing Analyticsdtalbot99
 
Tech Talk SQL Server 2012 Business Intelligence
Tech Talk SQL Server 2012 Business IntelligenceTech Talk SQL Server 2012 Business Intelligence
Tech Talk SQL Server 2012 Business IntelligenceRay Cochrane
 
Introduction to Microsoft’s Master Data Services (MDS)
Introduction to Microsoft’s Master Data Services (MDS)Introduction to Microsoft’s Master Data Services (MDS)
Introduction to Microsoft’s Master Data Services (MDS)James Serra
 
Module 1 Information Management and Analytics Final
Module 1 Information Management and Analytics FinalModule 1 Information Management and Analytics Final
Module 1 Information Management and Analytics FinalVivastream
 
Talk IT_ Oracle_김태완_110831
Talk IT_ Oracle_김태완_110831Talk IT_ Oracle_김태완_110831
Talk IT_ Oracle_김태완_110831Cana Ko
 
Leveraging PowerPivot
Leveraging PowerPivotLeveraging PowerPivot
Leveraging PowerPivotDan English
 
PCN Corporate Overview
PCN Corporate OverviewPCN Corporate Overview
PCN Corporate OverviewPCN Strategies
 
StreamCentral Technical Overview
StreamCentral Technical OverviewStreamCentral Technical Overview
StreamCentral Technical OverviewRaheel Retiwalla
 
Microsoft SQL Server 2012 Master Data Services
Microsoft SQL Server 2012 Master Data ServicesMicrosoft SQL Server 2012 Master Data Services
Microsoft SQL Server 2012 Master Data ServicesMark Ginnebaugh
 
Db graph a_tool_for_development_of_database_systems_based
Db graph a_tool_for_development_of_database_systems_basedDb graph a_tool_for_development_of_database_systems_based
Db graph a_tool_for_development_of_database_systems_basedAmbar Abdul
 
Anexinet Big Data Solutions
Anexinet Big Data SolutionsAnexinet Big Data Solutions
Anexinet Big Data SolutionsMark Kromer
 
Introducing Open XDX Technology for Open Data API development
Introducing Open XDX Technology for Open Data API developmentIntroducing Open XDX Technology for Open Data API development
Introducing Open XDX Technology for Open Data API developmentBizagi Inc
 

Similar to Data-Ed Online: Engineering Solutions to Data Quality Challenges (20)

Data-Ed Engineering Solutions to Data Quality Challenges
Data-Ed Engineering Solutions to Data Quality ChallengesData-Ed Engineering Solutions to Data Quality Challenges
Data-Ed Engineering Solutions to Data Quality Challenges
 
Zakipoint Introduction
Zakipoint IntroductionZakipoint Introduction
Zakipoint Introduction
 
Getting Cloud Architecture Right the First Time Ver 2
Getting Cloud Architecture Right the First Time Ver 2Getting Cloud Architecture Right the First Time Ver 2
Getting Cloud Architecture Right the First Time Ver 2
 
Sybase whats in_your_architecture_wp
Sybase whats in_your_architecture_wpSybase whats in_your_architecture_wp
Sybase whats in_your_architecture_wp
 
Agile Business Intelligence
Agile Business IntelligenceAgile Business Intelligence
Agile Business Intelligence
 
Insightful Marketing Analytics
Insightful Marketing AnalyticsInsightful Marketing Analytics
Insightful Marketing Analytics
 
ICT for Governance and Policy Modelling
ICT for Governance and Policy Modelling ICT for Governance and Policy Modelling
ICT for Governance and Policy Modelling
 
Tech Talk SQL Server 2012 Business Intelligence
Tech Talk SQL Server 2012 Business IntelligenceTech Talk SQL Server 2012 Business Intelligence
Tech Talk SQL Server 2012 Business Intelligence
 
CRisMac solution for ADF
CRisMac solution for ADFCRisMac solution for ADF
CRisMac solution for ADF
 
Introduction to Microsoft’s Master Data Services (MDS)
Introduction to Microsoft’s Master Data Services (MDS)Introduction to Microsoft’s Master Data Services (MDS)
Introduction to Microsoft’s Master Data Services (MDS)
 
Kurukshetra - Big Data
Kurukshetra - Big DataKurukshetra - Big Data
Kurukshetra - Big Data
 
Module 1 Information Management and Analytics Final
Module 1 Information Management and Analytics FinalModule 1 Information Management and Analytics Final
Module 1 Information Management and Analytics Final
 
Talk IT_ Oracle_김태완_110831
Talk IT_ Oracle_김태완_110831Talk IT_ Oracle_김태완_110831
Talk IT_ Oracle_김태완_110831
 
Leveraging PowerPivot
Leveraging PowerPivotLeveraging PowerPivot
Leveraging PowerPivot
 
PCN Corporate Overview
PCN Corporate OverviewPCN Corporate Overview
PCN Corporate Overview
 
StreamCentral Technical Overview
StreamCentral Technical OverviewStreamCentral Technical Overview
StreamCentral Technical Overview
 
Microsoft SQL Server 2012 Master Data Services
Microsoft SQL Server 2012 Master Data ServicesMicrosoft SQL Server 2012 Master Data Services
Microsoft SQL Server 2012 Master Data Services
 
Db graph a_tool_for_development_of_database_systems_based
Db graph a_tool_for_development_of_database_systems_basedDb graph a_tool_for_development_of_database_systems_based
Db graph a_tool_for_development_of_database_systems_based
 
Anexinet Big Data Solutions
Anexinet Big Data SolutionsAnexinet Big Data Solutions
Anexinet Big Data Solutions
 
Introducing Open XDX Technology for Open Data API development
Introducing Open XDX Technology for Open Data API developmentIntroducing Open XDX Technology for Open Data API development
Introducing Open XDX Technology for Open Data API development
 

More from Data Blueprint

Data Ed: Best Practices with the DMM
Data Ed: Best Practices with the DMMData Ed: Best Practices with the DMM
Data Ed: Best Practices with the DMMData Blueprint
 
Data-Ed: A Framework for no sql and Hadoop
Data-Ed: A Framework for no sql and HadoopData-Ed: A Framework for no sql and Hadoop
Data-Ed: A Framework for no sql and HadoopData Blueprint
 
Data-Ed: Monetizing Data Management
Data-Ed: Monetizing Data Management  Data-Ed: Monetizing Data Management
Data-Ed: Monetizing Data Management Data Blueprint
 
Data-Ed: Data Governance Strategies
Data-Ed: Data Governance StrategiesData-Ed: Data Governance Strategies
Data-Ed: Data Governance StrategiesData Blueprint
 
Data-Ed: Data Architecture Requirements
Data-Ed: Data Architecture Requirements  Data-Ed: Data Architecture Requirements
Data-Ed: Data Architecture Requirements Data Blueprint
 
Data-Ed: Business Value From MDM
Data-Ed: Business Value From MDM Data-Ed: Business Value From MDM
Data-Ed: Business Value From MDM Data Blueprint
 
Strategy and roadmap slides
Strategy and roadmap slidesStrategy and roadmap slides
Strategy and roadmap slidesData Blueprint
 
Data-Ed: Data Warehousing Strategies
Data-Ed: Data Warehousing StrategiesData-Ed: Data Warehousing Strategies
Data-Ed: Data Warehousing StrategiesData Blueprint
 
Data-Ed: Metadata Strategies
 Data-Ed: Metadata Strategies Data-Ed: Metadata Strategies
Data-Ed: Metadata StrategiesData Blueprint
 
Data-Ed: Trends in Data Modeling
Data-Ed: Trends in Data ModelingData-Ed: Trends in Data Modeling
Data-Ed: Trends in Data ModelingData Blueprint
 
Data-Ed: Data Governance Strategies
Data-Ed: Data Governance Strategies Data-Ed: Data Governance Strategies
Data-Ed: Data Governance Strategies Data Blueprint
 
Data-Ed: Best Practices with the Data Management Maturity Model
Data-Ed: Best Practices with the Data Management Maturity ModelData-Ed: Best Practices with the Data Management Maturity Model
Data-Ed: Best Practices with the Data Management Maturity ModelData Blueprint
 
Data-Ed: Design and Manage Data Structures
Data-Ed: Design and Manage Data Structures Data-Ed: Design and Manage Data Structures
Data-Ed: Design and Manage Data Structures Data Blueprint
 
Data-Ed: Emerging Trends in Data Jobs
Data-Ed: Emerging Trends in Data JobsData-Ed: Emerging Trends in Data Jobs
Data-Ed: Emerging Trends in Data JobsData Blueprint
 
Data-Ed: Data-centric Strategy & Roadmap
Data-Ed: Data-centric Strategy & RoadmapData-Ed: Data-centric Strategy & Roadmap
Data-Ed: Data-centric Strategy & RoadmapData Blueprint
 
Data-Ed: Demystifying Big Data
Data-Ed: Demystifying Big Data Data-Ed: Demystifying Big Data
Data-Ed: Demystifying Big Data Data Blueprint
 
Data-Ed: Show Me the Money: Monetizing Data Management
Data-Ed: Show Me the Money: Monetizing Data ManagementData-Ed: Show Me the Money: Monetizing Data Management
Data-Ed: Show Me the Money: Monetizing Data ManagementData Blueprint
 
Data Systems Integration & Business Value PT. 3: Warehousing
Data Systems Integration & Business Value PT. 3: Warehousing Data Systems Integration & Business Value PT. 3: Warehousing
Data Systems Integration & Business Value PT. 3: Warehousing Data Blueprint
 
Data-Ed: Data Systems Integration & Business Value PT. 1: Metadata
Data-Ed: Data Systems Integration & Business Value PT. 1: MetadataData-Ed: Data Systems Integration & Business Value PT. 1: Metadata
Data-Ed: Data Systems Integration & Business Value PT. 1: MetadataData Blueprint
 
Data-Ed: Demystifying Big Data
Data-Ed: Demystifying Big DataData-Ed: Demystifying Big Data
Data-Ed: Demystifying Big DataData Blueprint
 

More from Data Blueprint (20)

Data Ed: Best Practices with the DMM
Data Ed: Best Practices with the DMMData Ed: Best Practices with the DMM
Data Ed: Best Practices with the DMM
 
Data-Ed: A Framework for no sql and Hadoop
Data-Ed: A Framework for no sql and HadoopData-Ed: A Framework for no sql and Hadoop
Data-Ed: A Framework for no sql and Hadoop
 
Data-Ed: Monetizing Data Management
Data-Ed: Monetizing Data Management  Data-Ed: Monetizing Data Management
Data-Ed: Monetizing Data Management
 
Data-Ed: Data Governance Strategies
Data-Ed: Data Governance StrategiesData-Ed: Data Governance Strategies
Data-Ed: Data Governance Strategies
 
Data-Ed: Data Architecture Requirements
Data-Ed: Data Architecture Requirements  Data-Ed: Data Architecture Requirements
Data-Ed: Data Architecture Requirements
 
Data-Ed: Business Value From MDM
Data-Ed: Business Value From MDM Data-Ed: Business Value From MDM
Data-Ed: Business Value From MDM
 
Strategy and roadmap slides
Strategy and roadmap slidesStrategy and roadmap slides
Strategy and roadmap slides
 
Data-Ed: Data Warehousing Strategies
Data-Ed: Data Warehousing StrategiesData-Ed: Data Warehousing Strategies
Data-Ed: Data Warehousing Strategies
 
Data-Ed: Metadata Strategies
 Data-Ed: Metadata Strategies Data-Ed: Metadata Strategies
Data-Ed: Metadata Strategies
 
Data-Ed: Trends in Data Modeling
Data-Ed: Trends in Data ModelingData-Ed: Trends in Data Modeling
Data-Ed: Trends in Data Modeling
 
Data-Ed: Data Governance Strategies
Data-Ed: Data Governance Strategies Data-Ed: Data Governance Strategies
Data-Ed: Data Governance Strategies
 
Data-Ed: Best Practices with the Data Management Maturity Model
Data-Ed: Best Practices with the Data Management Maturity ModelData-Ed: Best Practices with the Data Management Maturity Model
Data-Ed: Best Practices with the Data Management Maturity Model
 
Data-Ed: Design and Manage Data Structures
Data-Ed: Design and Manage Data Structures Data-Ed: Design and Manage Data Structures
Data-Ed: Design and Manage Data Structures
 
Data-Ed: Emerging Trends in Data Jobs
Data-Ed: Emerging Trends in Data JobsData-Ed: Emerging Trends in Data Jobs
Data-Ed: Emerging Trends in Data Jobs
 
Data-Ed: Data-centric Strategy & Roadmap
Data-Ed: Data-centric Strategy & RoadmapData-Ed: Data-centric Strategy & Roadmap
Data-Ed: Data-centric Strategy & Roadmap
 
Data-Ed: Demystifying Big Data
Data-Ed: Demystifying Big Data Data-Ed: Demystifying Big Data
Data-Ed: Demystifying Big Data
 
Data-Ed: Show Me the Money: Monetizing Data Management
Data-Ed: Show Me the Money: Monetizing Data ManagementData-Ed: Show Me the Money: Monetizing Data Management
Data-Ed: Show Me the Money: Monetizing Data Management
 
Data Systems Integration & Business Value PT. 3: Warehousing
Data Systems Integration & Business Value PT. 3: Warehousing Data Systems Integration & Business Value PT. 3: Warehousing
Data Systems Integration & Business Value PT. 3: Warehousing
 
Data-Ed: Data Systems Integration & Business Value PT. 1: Metadata
Data-Ed: Data Systems Integration & Business Value PT. 1: MetadataData-Ed: Data Systems Integration & Business Value PT. 1: Metadata
Data-Ed: Data Systems Integration & Business Value PT. 1: Metadata
 
Data-Ed: Demystifying Big Data
Data-Ed: Demystifying Big DataData-Ed: Demystifying Big Data
Data-Ed: Demystifying Big Data
 

Recently uploaded

AI Workshops at Computers In Libraries 2024
AI Workshops at Computers In Libraries 2024AI Workshops at Computers In Libraries 2024
AI Workshops at Computers In Libraries 2024Brian Pichman
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
 
Outage Analysis: March 5th/6th 2024 Meta, Comcast, and LinkedIn
Outage Analysis: March 5th/6th 2024 Meta, Comcast, and LinkedInOutage Analysis: March 5th/6th 2024 Meta, Comcast, and LinkedIn
Outage Analysis: March 5th/6th 2024 Meta, Comcast, and LinkedInThousandEyes
 
Extra-120324-Visite-Entreprise-icare.pdf
Extra-120324-Visite-Entreprise-icare.pdfExtra-120324-Visite-Entreprise-icare.pdf
Extra-120324-Visite-Entreprise-icare.pdfInfopole1
 
How to release an Open Source Dataweave Library
How to release an Open Source Dataweave LibraryHow to release an Open Source Dataweave Library
How to release an Open Source Dataweave Libraryshyamraj55
 
From the origin to the future of Open Source model and business
From the origin to the future of  Open Source model and businessFrom the origin to the future of  Open Source model and business
From the origin to the future of Open Source model and businessFrancesco Corti
 
March Patch Tuesday
March Patch TuesdayMarch Patch Tuesday
March Patch TuesdayIvanti
 
UiPath Studio Web workshop Series - Day 3
UiPath Studio Web workshop Series - Day 3UiPath Studio Web workshop Series - Day 3
UiPath Studio Web workshop Series - Day 3DianaGray10
 
SIM INFORMATION SYSTEM: REVOLUTIONIZING DATA MANAGEMENT
SIM INFORMATION SYSTEM: REVOLUTIONIZING DATA MANAGEMENTSIM INFORMATION SYSTEM: REVOLUTIONIZING DATA MANAGEMENT
SIM INFORMATION SYSTEM: REVOLUTIONIZING DATA MANAGEMENTxtailishbaloch
 
20140402 - Smart house demo kit
20140402 - Smart house demo kit20140402 - Smart house demo kit
20140402 - Smart house demo kitJamie (Taka) Wang
 
IT Service Management (ITSM) Best Practices for Advanced Computing
IT Service Management (ITSM) Best Practices for Advanced ComputingIT Service Management (ITSM) Best Practices for Advanced Computing
IT Service Management (ITSM) Best Practices for Advanced ComputingMAGNIntelligence
 
The Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and InsightThe Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and InsightSafe Software
 
Q4 2023 Quarterly Investor Presentation - FINAL - v1.pdf
Q4 2023 Quarterly Investor Presentation - FINAL - v1.pdfQ4 2023 Quarterly Investor Presentation - FINAL - v1.pdf
Q4 2023 Quarterly Investor Presentation - FINAL - v1.pdfTejal81
 
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024Alkin Tezuysal
 
UiPath Studio Web workshop series - Day 4
UiPath Studio Web workshop series - Day 4UiPath Studio Web workshop series - Day 4
UiPath Studio Web workshop series - Day 4DianaGray10
 
CyberSecurity - Computers In Libraries 2024
CyberSecurity - Computers In Libraries 2024CyberSecurity - Computers In Libraries 2024
CyberSecurity - Computers In Libraries 2024Brian Pichman
 
Novo Nordisk's journey in developing an open-source application on Neo4j
Novo Nordisk's journey in developing an open-source application on Neo4jNovo Nordisk's journey in developing an open-source application on Neo4j
Novo Nordisk's journey in developing an open-source application on Neo4jNeo4j
 
Trailblazer Community - Flows Workshop (Session 2)
Trailblazer Community - Flows Workshop (Session 2)Trailblazer Community - Flows Workshop (Session 2)
Trailblazer Community - Flows Workshop (Session 2)Muhammad Tiham Siddiqui
 
Technical SEO for Improved Accessibility WTS FEST
Technical SEO for Improved Accessibility  WTS FESTTechnical SEO for Improved Accessibility  WTS FEST
Technical SEO for Improved Accessibility WTS FESTBillieHyde
 
The Importance of Indoor Air Quality (English)
The Importance of Indoor Air Quality (English)The Importance of Indoor Air Quality (English)
The Importance of Indoor Air Quality (English)IES VE
 

Recently uploaded (20)

AI Workshops at Computers In Libraries 2024
AI Workshops at Computers In Libraries 2024AI Workshops at Computers In Libraries 2024
AI Workshops at Computers In Libraries 2024
 
Key Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdfKey Trends Shaping the Future of Infrastructure.pdf
Key Trends Shaping the Future of Infrastructure.pdf
 
Outage Analysis: March 5th/6th 2024 Meta, Comcast, and LinkedIn
Outage Analysis: March 5th/6th 2024 Meta, Comcast, and LinkedInOutage Analysis: March 5th/6th 2024 Meta, Comcast, and LinkedIn
Outage Analysis: March 5th/6th 2024 Meta, Comcast, and LinkedIn
 
Extra-120324-Visite-Entreprise-icare.pdf
Extra-120324-Visite-Entreprise-icare.pdfExtra-120324-Visite-Entreprise-icare.pdf
Extra-120324-Visite-Entreprise-icare.pdf
 
How to release an Open Source Dataweave Library
How to release an Open Source Dataweave LibraryHow to release an Open Source Dataweave Library
How to release an Open Source Dataweave Library
 
From the origin to the future of Open Source model and business
From the origin to the future of  Open Source model and businessFrom the origin to the future of  Open Source model and business
From the origin to the future of Open Source model and business
 
March Patch Tuesday
March Patch TuesdayMarch Patch Tuesday
March Patch Tuesday
 
UiPath Studio Web workshop Series - Day 3
UiPath Studio Web workshop Series - Day 3UiPath Studio Web workshop Series - Day 3
UiPath Studio Web workshop Series - Day 3
 
SIM INFORMATION SYSTEM: REVOLUTIONIZING DATA MANAGEMENT
SIM INFORMATION SYSTEM: REVOLUTIONIZING DATA MANAGEMENTSIM INFORMATION SYSTEM: REVOLUTIONIZING DATA MANAGEMENT
SIM INFORMATION SYSTEM: REVOLUTIONIZING DATA MANAGEMENT
 
20140402 - Smart house demo kit
20140402 - Smart house demo kit20140402 - Smart house demo kit
20140402 - Smart house demo kit
 
IT Service Management (ITSM) Best Practices for Advanced Computing
IT Service Management (ITSM) Best Practices for Advanced ComputingIT Service Management (ITSM) Best Practices for Advanced Computing
IT Service Management (ITSM) Best Practices for Advanced Computing
 
The Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and InsightThe Zero-ETL Approach: Enhancing Data Agility and Insight
The Zero-ETL Approach: Enhancing Data Agility and Insight
 
Q4 2023 Quarterly Investor Presentation - FINAL - v1.pdf
Q4 2023 Quarterly Investor Presentation - FINAL - v1.pdfQ4 2023 Quarterly Investor Presentation - FINAL - v1.pdf
Q4 2023 Quarterly Investor Presentation - FINAL - v1.pdf
 
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024
Design and Modeling for MySQL SCALE 21X Pasadena, CA Mar 2024
 
UiPath Studio Web workshop series - Day 4
UiPath Studio Web workshop series - Day 4UiPath Studio Web workshop series - Day 4
UiPath Studio Web workshop series - Day 4
 
CyberSecurity - Computers In Libraries 2024
CyberSecurity - Computers In Libraries 2024CyberSecurity - Computers In Libraries 2024
CyberSecurity - Computers In Libraries 2024
 
Novo Nordisk's journey in developing an open-source application on Neo4j
Novo Nordisk's journey in developing an open-source application on Neo4jNovo Nordisk's journey in developing an open-source application on Neo4j
Novo Nordisk's journey in developing an open-source application on Neo4j
 
Trailblazer Community - Flows Workshop (Session 2)
Trailblazer Community - Flows Workshop (Session 2)Trailblazer Community - Flows Workshop (Session 2)
Trailblazer Community - Flows Workshop (Session 2)
 
Technical SEO for Improved Accessibility WTS FEST
Technical SEO for Improved Accessibility  WTS FESTTechnical SEO for Improved Accessibility  WTS FEST
Technical SEO for Improved Accessibility WTS FEST
 
The Importance of Indoor Air Quality (English)
The Importance of Indoor Air Quality (English)The Importance of Indoor Air Quality (English)
The Importance of Indoor Air Quality (English)
 

Data-Ed Online: Engineering Solutions to Data Quality Challenges

  • 1. Data Quality Engineering TITLE This presentation provides guidance to organizations considering data quality initiatives or preparing for data quality initiatives. This talk will illustrate how organizations with chronic business challenges often can trace the root of the problem to poor data quality. Showing how data quality can be engineered provides a useful framework in which to develop an organizational approach. This in turn will allow organizations to more quickly identify data problems caused by structural issues versus practice-oriented defects. Participants will also Starting learn the importance of practicing data quality point for new system Metadata Creation • Define Data Architecture • Define Data Model Structures Metadata Refinement • Correct Structural Defects • Update Implementation engineering quantification. development architecture data architecture refinements Metadata Structuring Data Refinement • Implement Data Model Views • Correct Data Value Defects • Populate Data Model Views corrected • Re-store Data Values data data Date: October 9, 2012 architecture and Metadata & data models Data Storage data performance metadata Data Creation facts & Data Assessment • Create Data meanings • Assess Data Values Time: 2:00 PM ET • Verify Data Values shared data updated data • Assess Metadata Starting point for existing Presented by: Dr. Peter Aiken Data Utilization Data Manipulation systems • Inspect Data • Manipulate Data • Present Data • Updata Data PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 1 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 2. TITLE Commonly Asked Questions PRODUCED BY CLASSIFICATION DATE SLIDE EDUCATION 2 09/10/12 DATACopyright this and previous years by Data W. BROAD reserved! © BLUEPRINT 10124-C Blueprint - all rights ST, GLEN ALLEN, VA 23060
  • 3. TITLE Commonly Asked Questions 1) Will I get copies of the slides after the event? PRODUCED BY CLASSIFICATION DATE SLIDE EDUCATION 2 09/10/12 DATACopyright this and previous years by Data W. BROAD reserved! © BLUEPRINT 10124-C Blueprint - all rights ST, GLEN ALLEN, VA 23060
  • 4. TITLE Commonly Asked Questions 1) Will I get copies of the slides after the event? 2) Is this being recorded so I can view it afterwards? PRODUCED BY CLASSIFICATION DATE SLIDE EDUCATION 2 09/10/12 DATACopyright this and previous years by Data W. BROAD reserved! © BLUEPRINT 10124-C Blueprint - all rights ST, GLEN ALLEN, VA 23060
  • 5. Get Social With Us! TITLE Live Twitter Feed Like Us on Facebook Join the Group Join the conversation! www.facebook.com/ Data Management & Follow us: datablueprint Business Intelligence @datablueprint Post questions and Ask questions, gain insights comments and collaborate with fellow @paiken Find industry news, insightful data management Ask questions and submit content professionals your comments: #dataed and event updates. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 3 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 6. 4 - datablueprint.com 10/16/2012 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 7. Meet Your Presenter: Dr. Peter Aiken • Internationally recognized thought- leader in the data management field - 30 years of experience – Recipient of multiple international awards – Founder, Data Blueprint (http://datablueprint.com) • 7 books and dozens of articles • Experienced w/ 500+ data management practices in 20 countries • Multi-year immersions with organizations as diverse as the US DoD, Deutsche Bank, Nokia, Wells Fargo, the Commonwealth of Virginia and Walmart 4 - datablueprint.com 10/16/2012 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 8. Data Quality Engineering Data Quality Engineering DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12
  • 9. Data Quality Engineering Data Quality Engineering DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12
  • 10. Data Quality Engineering Data Quality Engineering DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12
  • 11. Data Quality Engineering Data Quality Engineering DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12
  • 12. TITLE Outline Tweeting now: #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 6 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 13. TITLE Outline 1. Data Management Introduction Tweeting now: #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 6 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 14. TITLE Outline 1. Data Management Introduction 2. Data Quality Definitions & Overview Tweeting now: #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 6 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 15. TITLE Outline 1. Data Management Introduction 2. Data Quality Definitions & Overview 3. DQM Cycle Tweeting now: #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 6 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 16. TITLE Outline 1. Data Management Introduction 2. Data Quality Definitions & Overview 3. DQM Cycle 4. DQ Awareness & Requirements Tweeting now: #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 6 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 17. TITLE Outline 1. Data Management Introduction 2. Data Quality Definitions & Overview 3. DQM Cycle 4. DQ Awareness & Requirements 5. DQ Dimensions Tweeting now: #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 6 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 18. TITLE Outline 1. Data Management Introduction 2. Data Quality Definitions & Overview 3. DQM Cycle 4. DQ Awareness & Requirements 5. DQ Dimensions 6. Data Quality Tools Tweeting now: #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 6 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 19. TITLE Outline 1. Data Management Introduction 2. Data Quality Definitions & Overview 3. DQM Cycle 4. DQ Awareness & Requirements 5. DQ Dimensions 6. Data Quality Tools 7. Guiding Principles Tweeting now: #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 6 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 20. TITLE Outline 1. Data Management Introduction 2. Data Quality Definitions & Overview 3. DQM Cycle 4. DQ Awareness & Requirements 5. DQ Dimensions 6. Data Quality Tools 7. Guiding Principles Tweeting now: 8. References and Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 6 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 21. TITLE Outline 1. Data Management Introduction 2. Data Quality Definitions & Overview 3. DQM Cycle 4. DQ Awareness & Requirements 5. DQ Dimensions 6. Data Quality Tools 7. Guiding Principles Tweeting now: 8. References and Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 6 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 22. TITLE The DAMA Guide to the Data Management Body of Knowledge Data Management Functions PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 7 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 23. TITLE The DAMA Guide to the Data Management Body of Knowledge Published by DAMA International Data Management Functions PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 7 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 24. TITLE The DAMA Guide to the Data Management Body of Knowledge Published by DAMA International • The professional association for Data Managers (40 chapters worldwide) Data Management Functions PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 7 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 25. TITLE The DAMA Guide to the Data Management Body of Knowledge Published by DAMA International • The professional association for Data Managers (40 chapters worldwide) DMBoK organized around Data Management Functions PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 7 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 26. TITLE The DAMA Guide to the Data Management Body of Knowledge Published by DAMA International • The professional association for Data Managers (40 chapters worldwide) DMBoK organized around • Primary data management functions focused around data delivery to the organization Data Management Functions PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 7 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 27. TITLE The DAMA Guide to the Data Management Body of Knowledge Published by DAMA International • The professional association for Data Managers (40 chapters worldwide) DMBoK organized around • Primary data management functions focused around data delivery to the organization • Organized around several environmental elements Data Management Functions PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 7 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 28. TITLE The DAMA Guide to the Data Management Body of Knowledge Published by DAMA International • The professional association for Data Managers (40 chapters worldwide) DMBoK organized around • Primary data management functions focused around data delivery to the organization • Organized around several environmental elements Data Management Functions PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 7 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 29. TITLE The DAMA Guide to the Data Management Body of Knowledge PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 8 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 30. TITLE The DAMA Guide to the Data Management Body of Knowledge Environmental Elements PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 8 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 31. TITLE The DAMA Guide to the Data Management Body of Knowledge Amazon: http:// www.amazon.com/ DAMA-Guide- Management- Knowledge-DAMA- DMBOK/dp/ 0977140083 Or enter the terms "dama dm bok" at the Amazon search engine Environmental Elements PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 8 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 32. TITLE What is the CDMP? • Certified Data Management Professional • DAMA International and ICCP • Membership in a distinct group made up of your fellow professionals • Recognition for your specialized knowledge in a choice of 17 specialty areas • Series of 3 exams • For more information, please visit: – http://www.dama.org/i4a/pages/ index.cfm?pageid=3399 – http://iccp.org/certification/ designations/cdmp #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 5/15/2012 9 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 33. TITLE Data Management PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 10 1/26/2010 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 34. TITLE Data Management Data Program Coordination Organizational Data Integration Data Stewardship Data Development Data Support Operations PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 11 1/26/2010 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 35. TITLE Data Management Manage data coherently. Data Program Coordination Organizational Data Integration Data Stewardship Data Development Data Support Operations PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 11 1/26/2010 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 36. TITLE Data Management Manage data coherently. Data Program Coordination Share data across boundaries. Organizational Data Integration Data Stewardship Data Development Data Support Operations PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 11 1/26/2010 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 37. TITLE Data Management Manage data coherently. Data Program Coordination Share data across boundaries. Organizational Data Integration Data Stewardship Data Development Assign responsibilities for data. Data Support Operations PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 11 1/26/2010 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 38. TITLE Data Management Manage data coherently. Data Program Coordination Share data across boundaries. Organizational Data Integration Data Stewardship Data Development Assign responsibilities for data. Engineer data delivery systems. Data Support Operations PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 11 1/26/2010 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 39. TITLE Data Management Manage data coherently. Data Program Coordination Share data across boundaries. Organizational Data Integration Data Stewardship Data Development Assign responsibilities for data. Engineer data delivery systems. Data Support Operations Maintain data availability. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 11 1/26/2010 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 40. TITLE Data Management PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 12 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 41. TITLE Overview: Data Quality Engineering from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 13 1/26/2010 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 42. TITLE Overview: Data Quality Engineering from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 14 1/26/2010 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 43. TITLE Outline 1. Data Management Introduction 2. Data Quality Definitions & Overview 3. DQM Cycle 4. DQ Awareness & Requirements 5. DQ Dimensions 6. Data Quality Tools 7. Guiding Principles Tweeting now: 8. References and Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 15 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 44. TITLE Outline 1. Data Management Introduction 2. Data Quality Definitions & Overview 3. DQM Cycle 4. DQ Awareness & Requirements 5. DQ Dimensions 6. Data Quality Tools 7. Guiding Principles Tweeting now: 8. References and Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 15 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 45. TITLE Definitions from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/2012 10/09/12 16 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 46. TITLE Definitions Data Quality Management from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/2012 10/09/12 16 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 47. TITLE Definitions Data Quality Management • Planning, implementation and control activities that apply quality management techniques to measure, assess, improve, and ensure the fitness of data for use from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/2012 10/09/12 16 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 48. TITLE Definitions Data Quality Management • Planning, implementation and control activities that apply quality management techniques to measure, assess, improve, and ensure the fitness of data for use • Entails the establishment and deployment of roles, responsibilities concerning the acquisition, maintenance, dissemination, and disposition of data.” http://www2.sas.com/proceedings/sugi29/098-29.pdf from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/2012 10/09/12 16 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 49. TITLE Definitions Data Quality Management • Planning, implementation and control activities that apply quality management techniques to measure, assess, improve, and ensure the fitness of data for use • Entails the establishment and deployment of roles, responsibilities concerning the acquisition, maintenance, dissemination, and disposition of data.” http://www2.sas.com/proceedings/sugi29/098-29.pdf • Critical support process in organizational change management • Continuous process for defining the parameters for specifying acceptable levels of data quality to meet business needs and for ensuring that data quality meets these levels Data Quality • Synonymous with information quality, since poor data quality results in inaccurate information and poor business performance from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/2012 10/09/12 16 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 50. TITLE Overview: DQM Concepts and Activities 1) Data Quality Management Approach 2) Develop and promote data quality awareness 3) Define data quality requirements 4) Profile, analyze and assess data quality 5) Define data quality metrics 6) Define data quality business rules 7) Test and validate data quality requirements 8) Set and evaluate data quality service levels 9) Measure and monitor data quality 10) Manage data quality issues 11) Clean and correct data quality defects 12) Design and implement operational DQM procedures 13) Monitor operational DQM procedures and performance from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 17 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 51. TITLE Concepts and Activities from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 18 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 52. TITLE Concepts and Activities Data quality expectations provide the inputs necessary to define the data quality framework: – Requirements – Inspection policies – Measures, and monitors that reflect changes in data quality and performance from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 18 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 53. TITLE Concepts and Activities Data quality expectations provide the inputs necessary to define the data quality framework: – Requirements – Inspection policies – Measures, and monitors that reflect changes in data quality and performance • The data quality framework requirements reflect 3 aspects of business data expectations 1) A manner to record the expectation in business rules 2) A way to measure the quality of data within that dimension 3) An acceptability threshold from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 18 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 54. TITLE Outline 1. Data Management Introduction 2. Data Quality Definitions & Overview 3. DQM Cycle 4. DQ Awareness & Requirements 5. DQ Dimensions 6. Data Quality Tools 7. Guiding Principles Tweeting now: 8. References and Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 19 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 55. TITLE Outline 1. Data Management Introduction 2. Data Quality Definitions & Overview 3. DQM Cycle 4. DQ Awareness & Requirements 5. DQ Dimensions 6. Data Quality Tools 7. Guiding Principles Tweeting now: 8. References and Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 19 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 56. TITLE The DQM Cycle The general approach to DQM is a version of the Deming cycle. Deming proposes a problem–solving model known as “plan-do-study-act” or “plan-do-check-act” The cycle begins by: 1) Identifying data issues that are critical to the achievement of business objectives 2) Defining business requirements for data quality 3) Identifying key data quality dimensions 4) Defining business rules critical to ensuring high quality data from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 20 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 57. TITLE The DQM Cycle The general approach to DQM is a version of the Deming cycle. Deming proposes a problem–solving model known as “plan-do-study-act” or “plan-do-check-act” The cycle begins by: 1) Identifying data issues that are critical to the achievement of business objectives 2) Defining business requirements for data quality 3) Identifying key data quality dimensions 4) Defining business rules critical to ensuring high quality data from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 20 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 58. TITLE The DQM Cycle: (1) Plan Plan for the assessment of the current state and identification of key metrics for measuring quality • The data quality team assesses the scope of known issues • This involves: – Determining cost and impact – Evaluating alternatives for addressing them from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 21 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 59. TITLE The DQM Cycle: (2) Deploy Deploy processes for measuring and improving the quality of data: • Data profiling • Institute inspections and monitors to identify data issues when they occur • Fix flawed processes that are the root cause of data errors or correct errors downstream • When it is not possible to correct errors at their source, correct them at their earliest point in the data flow from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 22 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 60. TITLE The DQM Cycle: (3) Monitor Monitor the quality of data as measured against the defined business rules • If data quality meets defined thresholds for acceptability, the processes are in control and the level of data quality meets the business requirements • If data quality falls below acceptability thresholds, notify data stewards so they can take action during the next stage from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 23 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 61. TITLE The DQM Cycle: (4) Act Act to resolve any identified issues to improve data quality and better meet business expectations • New cycles begin as new data sets come under investigation or as new data quality requirements are identified for existing data sets from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 24 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 62. TITLE Outline 1. Data Management Introduction 2. Data Quality Definitions & Overview 3. DQM Cycle 4. DQ Awareness & Requirements 5. DQ Dimensions 6. Data Quality Tools 7. Guiding Principles Tweeting now: 8. References and Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 25 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 63. TITLE Outline 1. Data Management Introduction 2. Data Quality Definitions & Overview 3. DQM Cycle 4. DQ Awareness & Requirements 5. DQ Dimensions 6. Data Quality Tools 7. Guiding Principles Tweeting now: 8. References and Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 25 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 64. TITLE Develop and Promote DQ Awareness from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 26 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 65. TITLE Develop and Promote DQ Awareness • Promoting data quality awareness is essential to ensure buy-in of necessary stakeholders in the organization from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 26 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 66. TITLE Develop and Promote DQ Awareness • Promoting data quality awareness is essential to ensure buy-in of necessary stakeholders in the organization • Ensure that the right people in the organization are aware of the existence of data quality issues from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 26 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 67. TITLE Develop and Promote DQ Awareness • Promoting data quality awareness is essential to ensure buy-in of necessary stakeholders in the organization • Ensure that the right people in the organization are aware of the existence of data quality issues • Awareness increases the chance of success of any DQM program from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 26 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 68. TITLE Develop and Promote DQ Awareness • Promoting data quality awareness is essential to ensure buy-in of necessary stakeholders in the organization • Ensure that the right people in the organization are aware of the existence of data quality issues • Awareness increases the chance of success of any DQM program • Awareness includes: – Relating material impacts to data issues – Ensuring systematic approaches to regulators – Oversight of the quality of organizational data – Socializing the concept that data quality problems cannot be solely addressed by technology solutions from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 26 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 69. TITLE Polling Question #1 Which is not a step to promote data quality awareness? a) Training on the core concepts of data quality b) Establish data governance framework for data quality c) Create a data architecture map PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 27 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 70. TITLE Develop and Promote DQ Awareness: Steps from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 28 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 71. TITLE Develop and Promote DQ Awareness: Steps 1) Training on the core concepts of data quality from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 28 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 72. TITLE Develop and Promote DQ Awareness: Steps 1) Training on the core concepts of data quality 2) Establish data governance framework for data quality from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 28 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 73. TITLE Develop and Promote DQ Awareness: Steps 1) Training on the core concepts of data quality 2) Establish data governance framework for data quality 3) Create a data quality oversight board that has a reporting hierarchy associated with the different data governance roles from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 28 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 74. TITLE Define DQ Requirements • Data quality must be understood within the context of ‘fitness for use’ • Data quality requirements are often hidden within defined business policies • Incremental detailed review and iterative refinement of business policies helps to identify those information requirements which become data quality rules • Steps for incremental detailed review: – Identify key data components associated with business policies – Determine how identified data assertions affect the business – Evaluate how data errors are categorized within a set of data quality dimensions – Specify the business rules that measure the occurrence of data errors – Provide a means for implementing measurement processes that assess conformance to those business rules from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 29 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 75. TITLE Data Quality Dimensions from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 30 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 76. TITLE Profile, Analyze and Assess DQ Data assessment using 2 different approaches: 1) Bottom-up 2) Top-down Bottom-up assessment: • Inspection and evaluation of the data sets • Highlight potential issues based on the results of automated processes Top-down assessment: • Engage business users to document their business processes and the corresponding critical data dependencies • Understand how their processes consume data and which data elements are critical to the success of the business application from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 31 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 77. TITLE Define DQ Metrics • Metrics development occurs as part of the strategy/design/plan step • Process for defining data quality metrics: 1) Select one of the identified critical business impacts 2) Evaluate the dependent data elements, create and update processes associate with that business impact 3) List any associated data requirements 4) Specify the associated dimension of data quality and one or more business rules to use to determine conformance of the data to expectations 5) Describe the process for measuring conformance 6) Specify an acceptability threshold from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 32 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 78. TITLE Test and Validate DQ Requirements • Data profiling tools analyze data to find potential anomalies • Use the same tools for rule validation • Rules discovered or defined during the data quality assessment phase are referenced in measuring conformance as part of the operational process from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 33 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 79. TITLE Set and Evaluate DQ Service Levels • Data quality inspection and monitoring are used to measure and monitor compliance with defined data quality rules • Data quality SLAs specify the organization’s expectations for response and remediation • Operational data quality control defined in data quality SLAs includes: – Data elements covered by the agreement – Business impacts associated with data flaws – Data quality dimensions associated with each data element – Quality expectations for each data element of the indentified dimensions in each application for system in the value chain – Methods for measuring against those expectations – (…) from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 34 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 80. TITLE Measure and Monitor DQ • DQM procedures depend on available data quality measuring and monitoring services • 2 contexts for control/measurement of conformance to data quality business rules exist: – In-stream: collect in-stream measurements while creating data – In batch: perform batch activities on collections of data instances assembled in a data set • Apply measurements at 3 levels of granularity: – Data element value – Data instance or record – Data set from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 35 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 81. Clean & Correct Manage DQ Issues DQ Defects • Supporting the enforcement of Perform data correction the data quality SLA requires a mechanism for reporting and in 3 ways: tracking data quality incidents 1) Automated correction and activities for researching 2) Manual directed correction and resolving those incidents 3) Manual correction • A data quality incident reporting system can provide this capability • It can log the evaluation, initial diagnosis, and actions associated with data quality events from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 36 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 82. Manage DQ Issues: Example TITLE Data quality incident tracking focuses on training staff to recognize when data issues appear and how they are to be classified, logged and tracked according to the data quality SLA from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 37 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 83. Design and Implement Monitor Operational Operational DQM DQM Procedures and Procedures Performances 1) Inspection and monitoring 1) Accountability is critical 2) Diagnosis and evaluation to governance of remediation protocols overseeing alternatives data quality control 3) Resolve issues 2) All issues must be 4) Reporting assigned 3) The tracking process should specify and document the ultimate issue accountability from The DAMA Guide to the Data Management Body of Knowledge © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 38 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 84. TITLE Outline 1. Data Management Introduction 2. Data Quality Definitions & Overview 3. DQM Cycle 4. DQ Awareness & Requirements 5. DQ Dimensions 6. Data Quality Tools 7. Guiding Principles Tweeting now: 8. References and Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 39 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 85. TITLE Outline 1. Data Management Introduction 2. Data Quality Definitions & Overview 3. DQM Cycle 4. DQ Awareness & Requirements 5. DQ Dimensions 6. Data Quality Tools 7. Guiding Principles Tweeting now: 8. References and Q&A #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 39 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 86. TITLE Example: Data Quality Interview Session Summary • During mid-February, the Data Governance Team and Data Blueprint conducted ten qualitative interview sessions with groups of individuals who interact with data on regular basis • A series of patterns emerged as participants shared stories about the impact of poor data quality on the client, its products, and its customers • These patterns highlight gaps in best practices for ensuring data quality, i.e. the extent to which data is “fit for use” • Our preliminary analysis evaluated these stories against attributes of four data quality dimensions • At this early stage of the post-interview process, we are seeking confirmation of our assumptions and method PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 40 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 87. TITLE Which Activities Support Quality Data? • Data quality best practices depend on both – Practice-oriented activities – Structure-oriented activities Quality Practice-oriented Data Structure-oriented activities focus on activities focus on the capture and the data manipulation of data implementation PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 41 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 88. TITLE Quality Dimensions Practice-oriented causes • Stem from a failure to rigor when capturing and manipulating data such as: – Edit masking – Range checking of input data – CRC-checking of transmitted data Structure-oriented causes • Occur because of data and metadata that has been arranged imperfectly. For example: – When the data is in the system but we just can't access it; – When a correct data value is provided as the wrong response to a query; or – When data is not provided because it is unavailable or inaccessible to the customer • Developer focus within system boundaries instead of within organization boundaries PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 42 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 89. TITLE Practice-Oriented Activities • Affect the Data Value Quality and Data Representation Quality • Examples of improper practice-oriented activities: – Allowing imprecise or incorrect data to be collected when requirements specify otherwise – Presenting data out of sequence • Typically diagnosed in bottom-up manner: find and fix the resulting problem • Addressed by imposing more rigorous data-handling governance Practice-oriented activities Quality of Quality of Data Values Data Representatio n PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 43 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 90. TITLE Structure-Oriented Activities • Affect the Data Model Quality and Data Architecture Quality • Examples of improper structure-oriented activities: – Providing a correct response but incomplete data to a query because the user did not comprehend the system data structure – Costly maintenance of inconsistent data used by redundant systems • Typically diagnosed in top-down manner: root cause fixes • Addressed through fundamental data structure governance Structure-oriented activities Quality of Quality of Data Models Data Architecture PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/12 44 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • 91. TITLE 4 Dimensions of Data Quality An organization’s overall data quality is a function of four distinct components, each with its own attributes: • Data Value: the quality of data as stored & maintained in the system Practice- oriented • Data Representation – the quality of representation for stored values; perfect data values stored in a system that are inappropriately represented can be harmful • Data Model – the quality of data logically representing user requirements related to data entities, associated attributes, and their relationships; essential for effective Structure- communication among data suppliers and consumers oriented • Data Architecture – the coordination of data management activities in cross-functional system development and operations PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 10/09/2012 10/09/12 45 10/04/12 © Copyright this and previous years by Data Blueprint - all rights reserved!

Editor's Notes

  1. \n
  2. \n
  3. \n
  4. \n
  5. \n
  6. \n
  7. \n
  8. \n
  9. \n
  10. \n
  11. \n
  12. \n
  13. \n
  14. \n
  15. \n
  16. \n
  17. \n
  18. \n
  19. \n
  20. \n
  21. \n
  22. \n
  23. \n
  24. \n
  25. \n
  26. \n
  27. \n
  28. \n
  29. \n
  30. \n
  31. \n
  32. \n
  33. \n
  34. \n
  35. \n
  36. \n
  37. \n
  38. \n
  39. \n
  40. \n
  41. \n
  42. \n
  43. \n
  44. \n
  45. \n
  46. \n
  47. \n
  48. \n
  49. \n
  50. \n
  51. \n
  52. \n
  53. \n
  54. \n
  55. \n
  56. \n
  57. \n
  58. \n
  59. \n
  60. \n
  61. \n
  62. \n
  63. \n
  64. \n
  65. \n
  66. \n
  67. \n
  68. \n
  69. \n
  70. \n
  71. \n
  72. \n
  73. \n
  74. \n
  75. Answer: C\n
  76. \n
  77. \n
  78. \n
  79. \n
  80. \n
  81. \n
  82. \n
  83. \n
  84. \n
  85. \n
  86. \n
  87. \n
  88. \n
  89. \n
  90. \n
  91. \n
  92. \n
  93. \n
  94. \n
  95. \n
  96. \n
  97. \n
  98. \n
  99. \n
  100. \n
  101. \n
  102. \n
  103. \n
  104. \n
  105. \n
  106. \n
  107. \n
  108. Answer: A\n
  109. \n
  110. \n
  111. \n
  112. \n
  113. \n
  114. \n
  115. \n
  116. \n
  117. \n
  118. \n
  119. \n
  120. Answer: B\n
  121. \n
  122. \n
  123. \n
  124. \n
  125. \n
  126. \n