Data-Ed Online: MDM: Quality is not an Option but a Requirement
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Data-Ed Online: MDM: Quality is not an Option but a Requirement

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This webinar aired originally on Tuesday, June 12, 2012. It is part of Data Blueprint’s ongoing webinar series on data management with Dr. Peter Aiken. ...

This webinar aired originally on Tuesday, June 12, 2012. It is part of Data Blueprint’s ongoing webinar series on data management with Dr. Peter Aiken.

Sign up for future sessions at http://www.datablueprint.com/webinar-schedule.

Abstract
Our presentation provides you with an understanding of the goals of reference and master data management (MDM), including establishing and implementing authoritative data sources, establishing and implementing more effective means of delivery data to various business processes, as well as increasing the quality of information used in organizational analytical functions (such as BI). You will understand the parallel importance of incorporating data quality engineering into the planning of reference and MDM.

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Data-Ed Online: MDM: Quality is not an Option but a Requirement Data-Ed Online: MDM: Quality is not an Option but a Requirement Presentation Transcript

  • Welcome! TITLE MDM: Quality is Not an Option but a Requirement Date: June 12, 2012 Time: 2:00 PM ET Presenter: Dr. Peter Aiken Twitter: #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Commonly Asked Questions 1) Will I get copies of the slides after the event? YES* 2) Is this being recorded so I can view it afterwards? YES* *Standard registrations PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE New Features: Live Twitter Feed & Facebook Join the conversation on Twitter! www.facebook.com/datablueprint Follow us @datablueprint and Post questions and comments @paiken Find industry news, insightful Ask questions and submit your content comments: #dataed and event updates PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 306/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Meet Your Presenter: Dr. Peter Aiken • Internationally recognized thought-leader in the data management field with more than 30 years of experience • Recipient of the 2010 International Stevens Award • Founding Director of Data Blueprint (http://datablueprint.com) • Associate Professor of Information Systems at Virginia Commonwealth University (http://vcu.edu) • President of DAMA International (http://dama.org) • DoD Computer Scientist, Reverse Engineering Program Manager/ Office of the Chief Information Officer • Visiting Scientist, Software Engineering Institute/Carnegie Mellon University • 7 books and dozens of articles • Experienced w/ 500+ data management practices in 20 countries #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • MDM: Text Integration with Quality and Governance is not an Option but a Requirement Dr. Peter Aiken: Reference & Master Data Management WebinarDATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12
  • MDM: Text Integration with Quality and Governance is not an Option but a Requirement Dr. Peter Aiken: Reference & Master Data Management WebinarDATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12
  • MDM: Text Integration with Quality and Governance is not an Option but a Requirement Dr. Peter Aiken: Reference & Master Data Management WebinarDATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12
  • MDM: Text Integration with Quality and Governance is not an Option but a Requirement Dr. Peter Aiken: Reference & Master Data Management WebinarDATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12
  • MDM: Text Integration with Quality and Governance is not an Option but a Requirement Dr. Peter Aiken: Reference & Master Data Management WebinarDATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12
  • Outline TITLE 1. Data Management Overview 2. What is Reference and MDM? 3. Why is Reference and MDM important? 4. Reference & MDM Building Blocks 5. Guiding Principles & Best Practices 6. Take Aways, References & Tweeting now: #dataed Q&A PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • Outline TITLE 1. Data Management Overview 2. What is Reference and MDM? 3. Why is Reference and MDM important? 4. Reference & MDM Building Blocks 5. Guiding Principles & Best Practices 6. Take Aways, References & Tweeting now: #dataed Q&A PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 606/06/12 © 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 06/12/12 706/06/12 © 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 06/12/12 706/06/12 © 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 06/12/12 706/06/12 © 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 06/12/12 706/06/12 © 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 06/12/12 706/06/12 © 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 06/12/12 706/06/12 © 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 06/12/12 706/06/12 © 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 06/12/12 806/06/12 © 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 06/12/12 806/06/12 © 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 06/12/12 806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE What is the CDMP? #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 906/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE What is the CDMP? • Certified Data Management Professional #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 906/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE What is the CDMP? • Certified Data Management Professional • DAMA International and ICCP #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 906/06/12 © 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 #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 906/06/12 © 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 #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 906/06/12 © 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 #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 906/06/12 © 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: #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 906/06/12 © 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 #dataed PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 906/06/12 © 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 06/12/12 906/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Data Management Basics PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1006/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Data Management Basics 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 06/12/12 1106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Data Management Basics 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 06/12/12 1106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Data Management Basics 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 06/12/12 1106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Data Management Basics 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 06/12/12 1106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Data Management Basics 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 06/12/12 1106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Data Management Basics 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 06/12/12 1106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Data Management Basics PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • Outline TITLE 1. Data Management Overview 2. What is Reference and MDM? 3. Why is Reference and MDM important? 4. Reference & MDM Building Blocks 5. Guiding Principles & Best Practices 6. Take Aways, References & Tweeting now: #dataed Q&A PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1306/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • Outline TITLE 1. Data Management Overview 2. What is Reference and MDM? 3. Why is Reference and MDM important? 4. Reference & MDM Building Blocks 5. Guiding Principles & Best Practices 6. Take Aways, References & Tweeting now: #dataed Q&A PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1306/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Summary: Reference and MDM 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 06/12/12 1406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • MDM Definition TITLE PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • MDM Definition TITLE • Gartner holds that MDM is a discipline or strategy PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • MDM Definition TITLE • Gartner holds that MDM is a discipline or strategy – "… where the business and the IT organization work together to ensure the uniformity, accuracy, semantic persistence, stewardship and accountability of the enterprises official, shared master data." PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • MDM Definition TITLE • Gartner holds that MDM is a discipline or strategy – "… where the business and the IT organization work together to ensure the uniformity, accuracy, semantic persistence, stewardship and accountability of the enterprises official, shared master data." – Master data is the enterprises official, consistent set of identifiers, extended attributes and hierarchies. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • MDM Definition TITLE • Gartner holds that MDM is a discipline or strategy – "… where the business and the IT organization work together to ensure the uniformity, accuracy, semantic persistence, stewardship and accountability of the enterprises official, shared master data." – Master data is the enterprises official, consistent set of identifiers, extended attributes and hierarchies. – Examples of core entities are: PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • MDM Definition TITLE • Gartner holds that MDM is a discipline or strategy – "… where the business and the IT organization work together to ensure the uniformity, accuracy, semantic persistence, stewardship and accountability of the enterprises official, shared master data." – Master data is the enterprises official, consistent set of identifiers, extended attributes and hierarchies. – Examples of core entities are: • Parties (e.g., customers, prospects, people, citizens, employees, vendors, suppliers and trading partners) PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • MDM Definition TITLE • Gartner holds that MDM is a discipline or strategy – "… where the business and the IT organization work together to ensure the uniformity, accuracy, semantic persistence, stewardship and accountability of the enterprises official, shared master data." – Master data is the enterprises official, consistent set of identifiers, extended attributes and hierarchies. – Examples of core entities are: • Parties (e.g., customers, prospects, people, citizens, employees, vendors, suppliers and trading partners) • Places (e.g., locations, offices, regional alignments and geographies) and PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • MDM Definition TITLE • Gartner holds that MDM is a discipline or strategy – "… where the business and the IT organization work together to ensure the uniformity, accuracy, semantic persistence, stewardship and accountability of the enterprises official, shared master data." – Master data is the enterprises official, consistent set of identifiers, extended attributes and hierarchies. – Examples of core entities are: • Parties (e.g., customers, prospects, people, citizens, employees, vendors, suppliers and trading partners) • Places (e.g., locations, offices, regional alignments and geographies) and • Things (for example, accounts, assets, policies, products and services). PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Wikipedia: Golden Version PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Wikipedia: Golden Version • In software development: – The Golden Master is usually the RTM (Released to Manufacturing) version, and therefore the commercial version. It represents the development stage of "RTM" (Released To Manufacturing), often referred to as "going gold", or "gone golden". PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Wikipedia: Golden Version • In software development: – The Golden Master is usually the RTM (Released to Manufacturing) version, and therefore the commercial version. It represents the development stage of "RTM" (Released To Manufacturing), often referred to as "going gold", or "gone golden". – Often confused with "gold master" which refers to a physical recording entity such as that sent to a manufacturing plant. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Wikipedia: Golden Version • In software development: – The Golden Master is usually the RTM (Released to Manufacturing) version, and therefore the commercial version. It represents the development stage of "RTM" (Released To Manufacturing), often referred to as "going gold", or "gone golden". – Often confused with "gold master" which refers to a physical recording entity such as that sent to a manufacturing plant. • In data management: – It is the data value representing the "correct" answer to the business question PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference/Master Data Management • Definition – Planning, implementation and control activities to ensure consistency with a "golden version" of contextual data values. 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 06/12/12 1706/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Definition: Reference Data Management PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Definition: Reference Data Management Control over defined domain values (also known as vocabularies), including: PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Definition: Reference Data Management Control over defined domain values (also known as vocabularies), including: • Control over standardized terms, code values and other unique identifiers; PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Definition: Reference Data Management Control over defined domain values (also known as vocabularies), including: • Control over standardized terms, code values and other unique identifiers; • Business definitions for each value, business relationships within and across domain value lists, and the; PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Definition: Reference Data Management Control over defined domain values (also known as vocabularies), including: • Control over standardized terms, code values and other unique identifiers; • Business definitions for each value, business relationships within and across domain value lists, and the; • Consistent, shared use of accurate, timely and relevant reference data values to classify and categorize data. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • Definition: Master Data Management TITLE Control over master data values to enable consistent, shared, contextual use across systems, of the most accurate, timely and relevant version of truth about essential business entities. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 1906/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference Data • Reference Data: – Data used to classify or categorize other data, the value domain – Order status: new, in progress, closed, cancelled – Two-letter USPS state code abbreviations (VA) • Reference Data Sets US United States GB (not UK) United Kingdom 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 06/12/12 2006/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Master 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 06/12/12 2106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Master Data • Data about business entities providing context for transactions but not limited to pre-defined values 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 06/12/12 2106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Master Data • Data about business entities providing context for transactions but not limited to pre-defined values 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 06/12/12 2106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Master Data • Data about business entities providing context for transactions but not limited to pre-defined values • Business rules dictate format and allowable ranges 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 06/12/12 2106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Master Data • Data about business entities providing context for transactions but not limited to pre-defined values • Business rules dictate format and allowable ranges – Parties (individuals, organizations, customers, citizens, patients, vendors, supplies, business partners, competitors, employees, students) 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 06/12/12 2106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Master Data • Data about business entities providing context for transactions but not limited to pre-defined values • Business rules dictate format and allowable ranges – Parties (individuals, organizations, customers, citizens, patients, vendors, supplies, business partners, competitors, employees, students) – Locations, products, financial structures 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 06/12/12 2106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Master Data • Data about business entities providing context for transactions but not limited to pre-defined values • Business rules dictate format and allowable ranges – Parties (individuals, organizations, customers, citizens, patients, vendors, supplies, business partners, competitors, employees, students) – Locations, products, financial structures 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 06/12/12 2106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Master Data • Data about business entities providing context for transactions but not limited to pre-defined values • Business rules dictate format and allowable ranges – Parties (individuals, organizations, customers, citizens, patients, vendors, supplies, business partners, competitors, employees, students) – Locations, products, financial structures • From the term Master File 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 06/12/12 2106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference Data versus Master 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 06/12/12 2206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference Data versus Master 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 06/12/12 2206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference Data versus Master Data • Reference Data: – Control over defined domain values (vocabularies) for standardized terms, code values, and other unique identifiers – The fact that we maintain 9 possible gender codes 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 06/12/12 2206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference Data versus Master Data • Reference Data: – Control over defined domain values (vocabularies) for standardized terms, code values, and other unique identifiers – The fact that we maintain 9 possible gender codes • Master Data: – Control over master data values to enable consistent, shared, contextual use across systems – The "golden" source of the gender of your customer "Pat" 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 06/12/12 2206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference Data versus Master Data • Reference Data: – Control over defined domain values (vocabularies) for standardized terms, code values, and other unique identifiers – The fact that we maintain 9 possible gender codes • Master Data: – Control over master data values to enable consistent, shared, contextual use across systems Both provide the context – The "golden" source of the gender of your for transaction data customer "Pat" 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 06/12/12 2206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • Outline TITLE 1. Data Management Overview 2. What is Reference and MDM? 3. Why is Reference and MDM important? 4. Reference & MDM Building Blocks 5. Guiding Principles & Best Practices 6. Take Aways, References & Tweeting now: #dataed Q&A PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 2306/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • Outline TITLE 1. Data Management Overview 2. What is Reference and MDM? 3. Why is Reference and MDM important? 4. Reference & MDM Building Blocks 5. Guiding Principles & Best Practices 6. Take Aways, References & Tweeting now: #dataed Q&A PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 2306/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • Reference Data Facts 2012 TITLE Source: http://www.igate.com/22926.aspx PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 2406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • Reference Data Facts 2012 TITLE • Global industry-wide survey of reference data professionals • Results show: Poor quality of reference data continues to create major problems for financial institutions. Source: http://www.igate.com/22926.aspx PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 2406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • Reference Data Facts 2012 TITLE • Global industry-wide survey of reference data professionals • Results show: Poor quality of reference data continues to create major problems for financial institutions. • Home-grown reference data solutions predominate, putting institutions at risk for meeting regulatory constraints • Risk management is seen as a more important business driver for improving data quality than cost Source: http://www.igate.com/22926.aspx PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 2406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference Data Facts 2012, cont’d Source: http://www.igate.com/22926.aspx PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 2506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference Data Facts 2012, cont’d • Despite recommended practices of centralizing reference data operations, 31% of the firms surveyed still manage data locally Source: http://www.igate.com/22926.aspx PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 2506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference Data Facts 2012, cont’d • Despite recommended practices of centralizing reference data operations, 31% of the firms surveyed still manage data locally Source: http://www.igate.com/22926.aspx PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 2506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference Data Facts 2012, cont’d • Despite recommended practices of centralizing reference data operations, 31% of the firms surveyed still manage data locally • New and changing regulatory requirements have prompted many financial service companies to re- evaluate their reference data strategies. To prepare for new regulations, nearly 62% of survey respondents are planning to extend or customize their reference data systems during 2012 and 2013. Source: http://www.igate.com/22926.aspx PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 2506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Polling Question #1 What percentage of firms still manage data locally? 1. 75% 2. 31% 3. 55% 4. 24% PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 2606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Interdependencies Data Governance Data Quality Master Data PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 2706/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Interdependencies Data Governance Data Quality Master Data PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 2706/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Inextricably intertwined Organized Knowledge Data Knowledge Management Practices Routine Data Scans Data Organization Practices Metadata(Prac8ces((dashed lines not in existence) ( ( Metadata( Metadata( Metadata( Engineering( Storage( Delivery( Sources( ( Uses( Metadata(Governance( Data that might benefit from Suspected/ Master Management Identified Master Data Catalogs Data Quality Master Data Management Problems Data Quality Practices Engineering Routine Data Scans Improved Quality Data Operational Data PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 2806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Interactions Data Harvesting Governance Master Violations Data Monitoring Data Monitoring Quality Routine Monitoring Data Scans Governance Rules Monitoring Monitoring Results: Master Monitoring Results: Suspected/ Data Rules Suspected/ Master Catalogs Identified Data & Data Characteristics Data Quality Governance Problems Data Practices Quality Rules Quality Focused Rules Data Quality Master Data Data Engineering Management Scans Routine Practices Practices Data Scans Improved Quality Data Operational Data PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 2906/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Multiple Sources of (for example) Customer Data Finance Application (3rd GL, batch Payroll Data system, no source) (database) Payroll Application Finance (3rd GL) Data (indexed) Marketing Data Marketing Application (external database) (4rd GL, query facilities, no reporting, very large) Personnel Data (database) Personnel App. (20 years old, un-normalized data) Mfg. Data R&D Data (home grown (raw) database) Mfg. Applications (contractor supported) R& D Applications (researcher supported, no documentation) PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3006/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference/Master Data: Tank, Tanks, Tankers, Tanked PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference/Master Data: Tank, Tanks, Tankers, Tanked PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference/Master Data: Tank, Tanks, Tankers, Tanked PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference/Master Data: Tank, Tanks, Tankers, Tanked PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference/Master Data: Tank, Tanks, Tankers, Tanked PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference/Master Data: Tank, Tanks, Tankers, Tanked PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference/Master Data: Tank, Tanks, Tankers, Tanked PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference/Master Data: Tank, Tanks, Tankers, Tanked PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference/Master Data: Tank, Tanks, Tankers, Tanked PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference Data Architecture 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 06/12/12 3206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Master Data Architecture PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3306/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Combined R/M Data Architecture PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE "180% Failure Rate" Fred Cohen, Patni PRODUCED BY http://www.igatepatni.com/bfs/solutions/payments.aspx CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE MDM Failure Root-Causes PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE MDM Failure Root-Causes • 30% of MDM programs are regarded as failures PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE MDM Failure Root-Causes • 30% of MDM programs are regarded as failures • 70% of SOA projects in complex, heterogeneous environments had failed to yield the expected business benefits unless MDM is included PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE MDM Failure Root-Causes • 30% of MDM programs are regarded as failures • 70% of SOA projects in complex, heterogeneous environments had failed to yield the expected business benefits unless MDM is included • Root-causes of failures: PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE MDM Failure Root-Causes • 30% of MDM programs are regarded as failures • 70% of SOA projects in complex, heterogeneous environments had failed to yield the expected business benefits unless MDM is included • Root-causes of failures: – 80% percent of MDM initiatives fail because of ineffective leadership, underestimated magnitudes or an inability to deal with the cultural impact of the change PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE MDM Failure Root-Causes • 30% of MDM programs are regarded as failures • 70% of SOA projects in complex, heterogeneous environments had failed to yield the expected business benefits unless MDM is included • Root-causes of failures: – 80% percent of MDM initiatives fail because of ineffective leadership, underestimated magnitudes or an inability to deal with the cultural impact of the change – MDM was implemented as a technology or as a project PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE MDM Failure Root-Causes • 30% of MDM programs are regarded as failures • 70% of SOA projects in complex, heterogeneous environments had failed to yield the expected business benefits unless MDM is included • Root-causes of failures: – 80% percent of MDM initiatives fail because of ineffective leadership, underestimated magnitudes or an inability to deal with the cultural impact of the change – MDM was implemented as a technology or as a project – MDM was an Enterprise Data Warehouse (EDW) or an ERP PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE MDM Failure Root-Causes • 30% of MDM programs are regarded as failures • 70% of SOA projects in complex, heterogeneous environments had failed to yield the expected business benefits unless MDM is included • Root-causes of failures: – 80% percent of MDM initiatives fail because of ineffective leadership, underestimated magnitudes or an inability to deal with the cultural impact of the change – MDM was implemented as a technology or as a project – MDM was an Enterprise Data Warehouse (EDW) or an ERP – MDM was an IT Effort PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE MDM Failure Root-Causes • 30% of MDM programs are regarded as failures • 70% of SOA projects in complex, heterogeneous environments had failed to yield the expected business benefits unless MDM is included • Root-causes of failures: – 80% percent of MDM initiatives fail because of ineffective leadership, underestimated magnitudes or an inability to deal with the cultural impact of the change – MDM was implemented as a technology or as a project – MDM was an Enterprise Data Warehouse (EDW) or an ERP – MDM was an IT Effort – MDM is separate to data governance and data quality PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE MDM Failure Root-Causes • 30% of MDM programs are regarded as failures • 70% of SOA projects in complex, heterogeneous environments had failed to yield the expected business benefits unless MDM is included • Root-causes of failures: – 80% percent of MDM initiatives fail because of ineffective leadership, underestimated magnitudes or an inability to deal with the cultural impact of the change – MDM was implemented as a technology or as a project – MDM was an Enterprise Data Warehouse (EDW) or an ERP – MDM was an IT Effort – MDM is separate to data governance and data quality – MDM initiatives are implemented with inappropriate technology PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE MDM Failure Root-Causes • 30% of MDM programs are regarded as failures • 70% of SOA projects in complex, heterogeneous environments had failed to yield the expected business benefits unless MDM is included • Root-causes of failures: – 80% percent of MDM initiatives fail because of ineffective leadership, underestimated magnitudes or an inability to deal with the cultural impact of the change – MDM was implemented as a technology or as a project – MDM was an Enterprise Data Warehouse (EDW) or an ERP – MDM was an IT Effort – MDM is separate to data governance and data quality – MDM initiatives are implemented with inappropriate technology – Internal politics and the silo mentality impede the MDM initiatives PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • Outline TITLE 1. Data Management Overview 2. What is Reference and MDM? 3. Why is Reference and MDM important? 4. Reference & MDM Building Blocks 5. Guiding Principles & Best Practices 6. Take Aways, References & Tweeting now: #dataed Q&A PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3706/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • Outline TITLE 1. Data Management Overview 2. What is Reference and MDM? 3. Why is Reference and MDM important? 4. Reference & MDM Building Blocks 5. Guiding Principles & Best Practices 6. Take Aways, References & Tweeting now: #dataed Q&A PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3706/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Automating Business Process PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Automating Business Process Benefits PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Automating Business Process Benefits • Obtain holistic perspective on roles and value creation PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Automating Business Process Benefits • Obtain holistic perspective on roles and value creation • Customers understand and value outputs PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Automating Business Process Benefits • Obtain holistic perspective on roles and value creation • Customers understand and value outputs • All develop better shared understanding PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Automating Business Process Benefits Results • Obtain holistic perspective on roles and value creation • Customers understand and value outputs • All develop better shared understanding PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Automating Business Process Benefits Results • Obtain holistic perspective on • Speed up process roles and value creation • Customers understand and value outputs • All develop better shared understanding PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Automating Business Process Benefits Results • Obtain holistic perspective on • Speed up process roles and value creation • Cost savings • Customers understand and value outputs • All develop better shared understanding PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Automating Business Process Benefits Results • Obtain holistic perspective on • Speed up process roles and value creation • Cost savings • Customers understand and • Increased compliance value outputs • All develop better shared understanding PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Automating Business Process Benefits Results • Obtain holistic perspective on • Speed up process roles and value creation • Cost savings • Customers understand and • Increased compliance value outputs • Increased output • All develop better shared understanding PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Automating Business Process Benefits Results • Obtain holistic perspective on • Speed up process roles and value creation • Cost savings • Customers understand and • Increased compliance value outputs • Increased output • All develop better shared understanding • IT systems documentation PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Traditional Engine PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 3906/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Prius Hybrid Engine PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 4006/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 4106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 4106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Data Security Management Overview                                    Illustration from The DAMA Guide to the Data Management Body of Knowledge p. 37 © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 4206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Data Security Management Overview                                    Illustration from The DAMA Guide to the Data Management Body of Knowledge p. 37 © 2009 by DAMA International PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 4206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Goals and Principles 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 06/12/12 4306/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Goals and Principles 1. Provide authoritative source of reconciled, high-quality master and reference 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 06/12/12 4306/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Goals and Principles 1. Provide authoritative source of reconciled, high-quality master and reference data. 2. Lower cost and complexity through reuse and leverage of standards. 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 06/12/12 4306/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Goals and Principles 1. Provide authoritative source of reconciled, high-quality master and reference data. 2. Lower cost and complexity through reuse and leverage of standards. 3. Support business intelligence and information integration efforts. 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 06/12/12 4306/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference & MDM 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 06/12/12 4406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference & MDM Activities • Understand Reference and Master Data Integration Needs 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 06/12/12 4406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference & MDM Activities • Understand Reference and Master Data Integration Needs • Identify Master and Reference Data Sources and Contributors 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 06/12/12 4406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference & MDM Activities • Understand Reference and Master Data Integration Needs • Identify Master and Reference Data Sources and Contributors • Define and Maintain the Data Integration Architecture 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 06/12/12 4406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference & MDM Activities • Understand Reference and Master Data Integration Needs • Identify Master and Reference Data Sources and Contributors • Define and Maintain the Data Integration Architecture • Implement Reference and Master Data Management 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 06/12/12 4406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference & MDM Activities • Understand Reference and Master Data Integration Needs • Identify Master and Reference Data Sources and Contributors • Define and Maintain the Data Integration Architecture • Implement Reference and Master Data Management Solutions • Define and Maintain Match 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 06/12/12 4406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference & MDM Activities • Understand Reference and Master Data Integration Needs • Identify Master and Reference Data Sources and Contributors • Define and Maintain the Data Integration Architecture • Implement Reference and Master Data Management Solutions • Define and Maintain Match Rules • Establish “Golden” Records 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 06/12/12 4406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference & MDM Activities • Understand Reference and Master Data Integration Needs • Identify Master and Reference Data Sources and Contributors • Define and Maintain the Data Integration Architecture • Implement Reference and Master Data Management Solutions • Define and Maintain Match Rules • Establish “Golden” Records • Define and Maintain Hierarchies and Affiliations 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 06/12/12 4406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference & MDM Activities • Understand Reference and Master Data Integration Needs • Identify Master and Reference Data Sources and Contributors • Define and Maintain the Data Integration Architecture • Implement Reference and Master Data Management Solutions • Define and Maintain Match Rules • Establish “Golden” Records • Define and Maintain Hierarchies and Affiliations • Plan and Implement Integration of New Data Sources 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 06/12/12 4406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference & MDM Activities • Understand Reference and Master Data Integration Needs • Identify Master and Reference Data Sources and Contributors • Define and Maintain the Data Integration Architecture • Implement Reference and Master Data Management Solutions • Define and Maintain Match Rules • Establish “Golden” Records • Define and Maintain Hierarchies and Affiliations • Plan and Implement Integration of New Data Sources • Replicate and Distribute Reference and Master 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 06/12/12 4406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Reference & MDM Activities • Understand Reference and Master Data Integration Needs • Identify Master and Reference Data Sources and Contributors • Define and Maintain the Data Integration Architecture • Implement Reference and Master Data Management Solutions • Define and Maintain Match Rules • Establish “Golden” Records • Define and Maintain Hierarchies and Affiliations • Plan and Implement Integration of New Data Sources • Replicate and Distribute Reference and Master Data • Manage Changes to Reference and Master 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 06/12/12 4406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Specific Reference and MDM Investigations 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 06/12/12 4506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Specific Reference and MDM Investigations • Who needs what information? 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 06/12/12 4506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Specific Reference and MDM Investigations • Who needs what information? • What data is available from different sources? 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 06/12/12 4506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Specific Reference and MDM Investigations • Who needs what information? • What data is available from different sources? • How does data from different sources differ? 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 06/12/12 4506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Specific Reference and MDM Investigations • Who needs what information? • What data is available from different sources? • How does data from different sources differ? • How can inconsistencies be reconciled? 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 06/12/12 4506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Specific Reference and MDM Investigations • Who needs what information? • What data is available from different sources? • How does data from different sources differ? • How can inconsistencies be reconciled? • How should valid values be shared? 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 06/12/12 4506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Primary Deliverables 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 06/12/12 4606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Primary Deliverables • Data Cleansing Services 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 06/12/12 4606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Primary Deliverables • Data Cleansing Services • Master and Reference Data Requirements 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 06/12/12 4606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Primary Deliverables • Data Cleansing Services • Master and Reference Data Requirements • Data Models and Documentation 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 06/12/12 4606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Primary Deliverables • Data Cleansing Services • Master and Reference Data Requirements • Data Models and Documentation • Reliable Reference and Master 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 06/12/12 4606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Primary Deliverables • Data Cleansing Services • Master and Reference Data Requirements • Data Models and Documentation • Reliable Reference and Master Data • "Golden Record" Data Lineage 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 06/12/12 4606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Primary Deliverables • Data Cleansing Services • Master and Reference Data Requirements • Data Models and Documentation • Reliable Reference and Master Data • "Golden Record" Data Lineage • Data Quality Metrics and Reports 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 06/12/12 4606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Roles and Responsibilities 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 06/12/12 4706/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Roles and Responsibilities Suppliers: • Steering Committees • Business Data Stewards • Subject Matter Experts • Data Consumers • Standards Organizations • Data Providers 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 06/12/12 4706/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Roles and Responsibilities Suppliers: Consumers: • Steering Committees • Application Users • Business Data Stewards • BI and Reporting Users • Application Developers and • Subject Matter Experts Architects • Data Consumers • Data integration Developers and • Standards Organizations Architects • Data Providers • BI Vendors and Architects • Vendors, Customers and Partners Participants: • Data Stewards • Subject Matter Experts • Data Architects • Data Analysts • Application Architects • Data Governance Council • Data Providers • Other IT Professionals 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 06/12/12 4706/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Technology 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 06/12/12 4806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Technology • ETL 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 06/12/12 4806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Technology • ETL • Reference Data Management Applications 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 06/12/12 4806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Technology • ETL • Reference Data Management Applications • Master Data Management Applications 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 06/12/12 4806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Technology • ETL • Reference Data Management Applications • Master Data Management Applications • Data Modeling Tools 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 06/12/12 4806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Technology • ETL • Reference Data Management Applications • Master Data Management Applications • Data Modeling Tools • Process Modeling Tools 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 06/12/12 4806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Technology • ETL • Reference Data Management Applications • Master Data Management Applications • Data Modeling Tools • Process Modeling Tools • Meta-data Repositories 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 06/12/12 4806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Technology • ETL • Reference Data Management Applications • Master Data Management Applications • Data Modeling Tools • Process Modeling Tools • Meta-data Repositories • Data Profiling Tools 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 06/12/12 4806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Technology • ETL • Reference Data Management Applications • Master Data Management Applications • Data Modeling Tools • Process Modeling Tools • Meta-data Repositories • Data Profiling Tools • Data Cleansing Tools 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 06/12/12 4806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Technology • ETL • Reference Data Management Applications • Master Data Management Applications • Data Modeling Tools • Process Modeling Tools • Meta-data Repositories • Data Profiling Tools • Data Cleansing Tools • Data Integration Tools 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 06/12/12 4806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Technology • ETL • Reference Data Management Applications • Master Data Management Applications • Data Modeling Tools • Process Modeling Tools • Meta-data Repositories • Data Profiling Tools • Data Cleansing Tools • Data Integration Tools • Business Process and Rule Engines 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 06/12/12 4806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Technology • ETL • Reference Data Management Applications • Master Data Management Applications • Data Modeling Tools • Process Modeling Tools • Meta-data Repositories • Data Profiling Tools • Data Cleansing Tools • Data Integration Tools • Business Process and Rule Engines • Change Management Tools 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 06/12/12 4806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • Outline TITLE 1. Data Management Overview 2. What is Reference and MDM? 3. Why is Reference and MDM important? 4. Reference & MDM Building Blocks 5. Guiding Principles & Best Practices 6. Take Aways, References & Tweeting now: #dataed Q&A PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 4906/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • Outline TITLE 1. Data Management Overview 2. What is Reference and MDM? 3. Why is Reference and MDM important? 4. Reference & MDM Building Blocks 5. Guiding Principles & Best Practices 6. Take Aways, References & Tweeting now: #dataed Q&A PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 4906/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Guiding Principles 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 06/12/12 5006/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Guiding Principles 1. Shared R/M data belong to 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 06/12/12 5006/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Guiding Principles 1. Shared R/M data belong to the organization. 2. R/M data management is an on-going data quality improve- ment program – goals cannot be achieved by 1 project alone. 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 06/12/12 5006/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Guiding Principles 1. Shared R/M data belong to the organization. 2. R/M data management is an on-going data quality improve- ment program – goals cannot be achieved by 1 project alone. 3. Business data stewards are the authorities accountable at determining the golden values. 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 06/12/12 5006/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Guiding Principles 1. Shared R/M data belong to the organization. 2. R/M data management is an on-going data quality improve- ment program – goals cannot be achieved by 1 project alone. 3. Business data stewards are the authorities accountable at determining the golden values. 4. Golden values represent the "best" sources. 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 06/12/12 5006/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Guiding Principles 1. Shared R/M data belong to the organization. 2. R/M data management is an on-going data quality improve- ment program – goals cannot be achieved by 1 project alone. 3. Business data stewards are the authorities accountable at determining the golden values. 4. Golden values represent the "best" sources. 5. Replicate master data values only from golden sources. 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 06/12/12 5006/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Guiding Principles 1. Shared R/M data belong to the organization. 2. R/M data management is an on-going data quality improve- ment program – goals cannot be achieved by 1 project alone. 3. Business data stewards are the authorities accountable at determining the golden values. 4. Golden values represent the "best" sources. 5. Replicate master data values only from golden sources. 6. Reference data changes require formal change 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 06/12/12 5006/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Polling Question #2 Which of these is a MDM best practice? 1. Build your processes to be static 2. Customize whenever possible 3. Use a holistic approach 4. Test at least once PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 10 Best Practices for MDM Source:http://www.mdmsource.com/master-data-management-tips-best-practices.html PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 10 Best Practices for MDM 1. Active, involved executive sponsorship Source:http://www.mdmsource.com/master-data-management-tips-best-practices.html PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 10 Best Practices for MDM 1. Active, involved executive sponsorship 2. The business should own the data governance process and the MDM or CDI project Source:http://www.mdmsource.com/master-data-management-tips-best-practices.html PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 10 Best Practices for MDM 1. Active, involved executive sponsorship 2. The business should own the data governance process and the MDM or CDI project 3. Strong project management and organizational change management Source:http://www.mdmsource.com/master-data-management-tips-best-practices.html PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 10 Best Practices for MDM 1. Active, involved executive sponsorship 2. The business should own the data governance process and the MDM or CDI project 3. Strong project management and organizational change management 4. Use a holistic approach - people, process, technology and information: Source:http://www.mdmsource.com/master-data-management-tips-best-practices.html PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 10 Best Practices for MDM 1. Active, involved executive sponsorship 2. The business should own the data governance process and the MDM or CDI project 3. Strong project management and organizational change management 4. Use a holistic approach - people, process, technology and information: 5. Build your processes to be ongoing and repeatable, supporting continuous improvement Source:http://www.mdmsource.com/master-data-management-tips-best-practices.html PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 10 Best Practices for MDM, cont’d Source:http://www.mdmsource.com/master-data-management-tips-best-practices.html PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5306/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 10 Best Practices for MDM, cont’d 6. Management needs to recognize the importance of a dedicated team of data stewards Source:http://www.mdmsource.com/master-data-management-tips-best-practices.html PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5306/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 10 Best Practices for MDM, cont’d 6. Management needs to recognize the importance of a dedicated team of data stewards 7. Understand your MDM hubs data model and how it integrates with your internal source systems and external content providers Source:http://www.mdmsource.com/master-data-management-tips-best-practices.html PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5306/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 10 Best Practices for MDM, cont’d 6. Management needs to recognize the importance of a dedicated team of data stewards 7. Understand your MDM hubs data model and how it integrates with your internal source systems and external content providers 8. Resist the urge to customize Source:http://www.mdmsource.com/master-data-management-tips-best-practices.html PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5306/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 10 Best Practices for MDM, cont’d 6. Management needs to recognize the importance of a dedicated team of data stewards 7. Understand your MDM hubs data model and how it integrates with your internal source systems and external content providers 8. Resist the urge to customize 9. Stay current with vendor-provided patches Source:http://www.mdmsource.com/master-data-management-tips-best-practices.html PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5306/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 10 Best Practices for MDM, cont’d 6. Management needs to recognize the importance of a dedicated team of data stewards 7. Understand your MDM hubs data model and how it integrates with your internal source systems and external content providers 8. Resist the urge to customize 9. Stay current with vendor-provided patches 10. Test, test, test and then test again. Source:http://www.mdmsource.com/master-data-management-tips-best-practices.html PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5306/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • Outline TITLE 1. Data Management Overview 2. What is Reference and MDM? 3. Why is Reference and MDM important? 4. Reference & MDM Building Blocks 5. Guiding Principles & Best Practices 6. Take Aways, References & Tweeting now: #dataed Q&A PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • Outline TITLE 1. Data Management Overview 2. What is Reference and MDM? 3. Why is Reference and MDM important? 4. Reference & MDM Building Blocks 5. Guiding Principles & Best Practices 6. Take Aways, References & Tweeting now: #dataed Q&A PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5406/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 [Source: unknown] EDUCATION 06/12/12 5506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors 1. Success is more likely and more frequently observed once users and prospects understand the limitations and strengths of MDM. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 [Source: unknown] EDUCATION 06/12/12 5506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors 1. Success is more likely and more frequently observed once users and prospects understand the limitations and strengths of MDM. 2. Taking small steps and remaining educated on where the MDM market and technology vendors are will increase longer-term success with MDM. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 [Source: unknown] EDUCATION 06/12/12 5506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors 1. Success is more likely and more frequently observed once users and prospects understand the limitations and strengths of MDM. 2. Taking small steps and remaining educated on where the MDM market and technology vendors are will increase longer-term success with MDM. 3. Set the right expectations for MDM initiative to help assure long-term success. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 [Source: unknown] EDUCATION 06/12/12 5506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors 1. Success is more likely and more frequently observed once users and prospects understand the limitations and strengths of MDM. 2. Taking small steps and remaining educated on where the MDM market and technology vendors are will increase longer-term success with MDM. 3. Set the right expectations for MDM initiative to help assure long-term success. 4. Long-term MDM success requires the involvement of the information architect. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 [Source: unknown] EDUCATION 06/12/12 5506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors 1. Success is more likely and 5. Create a governance more frequently observed framework to ensure that once users and prospects individuals manage master understand the limitations and data in a desirable manner. strengths of MDM. 2. Taking small steps and remaining educated on where the MDM market and technology vendors are will increase longer-term success with MDM. 3. Set the right expectations for MDM initiative to help assure long-term success. 4. Long-term MDM success requires the involvement of the information architect. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 [Source: unknown] EDUCATION 06/12/12 5506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors 1. Success is more likely and 5. Create a governance more frequently observed framework to ensure that once users and prospects individuals manage master understand the limitations and data in a desirable manner. strengths of MDM. 6. Strong alignment with the 2. Taking small steps and organizations business vision, remaining educated on where demonstrated by measuring the MDM market and the programs ongoing value, technology vendors are will will underpin MDM success. increase longer-term success with MDM. 3. Set the right expectations for MDM initiative to help assure long-term success. 4. Long-term MDM success requires the involvement of the information architect. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 [Source: unknown] EDUCATION 06/12/12 5506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors 1. Success is more likely and 5. Create a governance more frequently observed framework to ensure that once users and prospects individuals manage master understand the limitations and data in a desirable manner. strengths of MDM. 6. Strong alignment with the 2. Taking small steps and organizations business vision, remaining educated on where demonstrated by measuring the MDM market and the programs ongoing value, technology vendors are will will underpin MDM success. increase longer-term success 7. Use a strategic MDM with MDM. framework through all stages 3. Set the right expectations for of the MDM program activity MDM initiative to help assure cycle — strategize, evaluate, long-term success. execute and review. 4. Long-term MDM success requires the involvement of the information architect. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 [Source: unknown] EDUCATION 06/12/12 5506/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors 8. Gain high-level business sponsorship for the MDM program, and build strong stakeholder support. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors 8. Gain high-level business sponsorship for the MDM program, and build strong stakeholder support. 9. Start by creating an MDM vision and a strategy that closely aligns to the organization’s business vision. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors 8. Gain high-level business sponsorship for the MDM program, and build strong stakeholder support. 9. Start by creating an MDM vision and a strategy that closely aligns to the organization’s business vision. 10. Use an MDM metrics hierarchy to communicate standards for success, and to objectively measure progress. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors 8. Gain high-level business sponsorship for the MDM program, and build strong stakeholder support. 9. Start by creating an MDM vision and a strategy that closely aligns to the organization’s business vision. 10. Use an MDM metrics hierarchy to communicate standards for success, and to objectively measure progress. 11. Use a business case development process to increase business engagement. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors 8. Gain high-level business 12. Get the business to propose sponsorship for the MDM and own the KPIs; articulate program, and build strong the success of this scenario. stakeholder support. 9. Start by creating an MDM vision and a strategy that closely aligns to the organization’s business vision. 10. Use an MDM metrics hierarchy to communicate standards for success, and to objectively measure progress. 11. Use a business case development process to increase business engagement. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors 8. Gain high-level business 12. Get the business to propose sponsorship for the MDM and own the KPIs; articulate program, and build strong the success of this scenario. stakeholder support. 13. Measure the situation before 9. Start by creating an MDM and after the MDM vision and a strategy that implementation to determine closely aligns to the the change. organization’s business vision. 10. Use an MDM metrics hierarchy to communicate standards for success, and to objectively measure progress. 11. Use a business case development process to increase business engagement. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors 8. Gain high-level business 12. Get the business to propose sponsorship for the MDM and own the KPIs; articulate program, and build strong the success of this scenario. stakeholder support. 13. Measure the situation before 9. Start by creating an MDM and after the MDM vision and a strategy that implementation to determine closely aligns to the the change. organization’s business 14. Translate the change in vision. metrics into financial results. 10. Use an MDM metrics hierarchy to communicate standards for success, and to objectively measure progress. 11. Use a business case development process to increase business engagement. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE 15 MDM Success Factors 8. Gain high-level business 12. Get the business to propose sponsorship for the MDM and own the KPIs; articulate program, and build strong the success of this scenario. stakeholder support. 13. Measure the situation before 9. Start by creating an MDM and after the MDM vision and a strategy that implementation to determine closely aligns to the the change. organization’s business 14. Translate the change in vision. metrics into financial results. 10. Use an MDM metrics 15. The business and IT hierarchy to communicate organization should work standards for success, and to together to achieve a single objectively measure view of master data. progress. 11. Use a business case development process to increase business engagement. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5606/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Seven Sisters from British Telecom PRODUCED BY CLASSIFICATION DATE SLIDE Thanks to Dave Evans DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5706/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Seven Sisters from British Telecom PRODUCED BY CLASSIFICATION DATE SLIDE Thanks to Dave Evans DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5706/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Summary: Reference and MDM 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 06/12/12 5806/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Questions? + = It’s your turn! Use the chat feature or Twitter (#dataed) to submit your questions to Peter now. PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 5906/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE References PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 6006/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Additional References • http://www.mdmsource.com/master-data-management-tips-best-practices.html • http://www.igate.com/22926.aspx • http://www.itbusinessedge.com/cm/blogs/lawson/just-the-stats-master-data- management/?cs=50349 • http://searchcio-midmarket.techtarget.com/news/2240150296/Smart-grid-systems- expert-devises-business-transformation-template • http://www.itbusinessedge.com/cm/blogs/lawson/free-report-shows-businesses-fed-up- with-bad-data/?cs=50416 • http://www.itbusinessedge.com/cm/blogs/lawson/whats-ahead-for-master-data- management/?cs=50082 • http://www.itbusinessedge.com/cm/blogs/vizard/master-data-management-reaches- for-the-cloud/?cs=49264 • http://www.information-management.com/channels/master-data-management.html • http://www.dataversity.net/applying-six-sigma-to-master-data-management-mdm- framework-for-integrating-mdm-into-ea-part-2/ • http://www.dataqualityfirst.com/getting_master_data_facts_straight_is_hard.htm PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 6106/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!
  • TITLE Upcoming Events July Webinar: Practical Applications for Data Warehousing, Analytics, BI, and Meta-Integration Technologies July 10, 2012 @ 2:00 PM ET/11:00 AM PT August Webinar: Your Documents and Other Content: Managing Unstructured Data August 14, 2012 @ 2:00 PM ET/11:00 AM PT Sign up here: • www.datablueprint.com/webinar-schedule • www.Dataversity.net Brought to you by: PRODUCED BY CLASSIFICATION DATE SLIDE DATA BLUEPRINT 10124-C W. BROAD ST, GLEN ALLEN, VA 23060 EDUCATION 06/12/12 6206/06/12 © Copyright this and previous years by Data Blueprint - all rights reserved!