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Welcome!

             Data Governance for the Executive

                                  Raising the Bar


                                                Jim Orr
                                                Director, Information Management
                                                & Thought Leadership
                                                Information Builders

                                                                  Barcelona, Spain
“Only Information Builders achieves above-average
ease of use, below-average implementation costs per
user, above-average support for complex deployments              February 7, 2013
and above-average business benefits.”
                                                                                     1
3 Important Points for Executives


1.   Define the Purpose

2.   Establish the Mindset

3.   Demonstrate the Value




                                    2
The Purpose for Data Governance within MDM


1) MDM is LOADED with data policy decisions
     •   Data architectures
         • Registry, centralized, co-existence, consolidated
     •   Identity resolution
     •   Data transformation
     •   Data consolidation/survivorship
     •   Data ownership rights
     •   Data integrity rules
     •   Customer/product definitions
     •   Change data capture
     •   Data conflict resolution
2)   The Data Must be Correct
     • Accurate
     • Consistent
     • Reliable
     • Timely
                                                               3
Data Governance for MDM

Technology or business process?




                 Business process allows the organization to coordinate,
                   establish, and administer corporate data policies and
                                         practices.



              Technology allows for the implementation and automation of
                  data policies established through the data governance
                                     business process.



                                              It requires both to be successful

                                                                                  4
Data Governance Concepts

Don’t be fooled by the term and be careful what you call it

  The term “data governance” can imply tactical, IT centric data management
         activities with a flair for bureaucracy. To the contrary it is about



       Information Asset Management
                      that drives business performance.


                                    What you call it and how you view it as an
                                   organization can be the difference between
                                               success and failure


                                             From the book “Data Governance for the Executive” by James C. Orr

                                                                                                                 5
Data Governance Concepts

Analogy of two assets - Similar but managed very differently

  Financial Data Assets                    Data Assets
   Centralized ownership, authority,       Fragmented ownership, little
    accountability                           authority or accountability
   Standard policies and procedures        Minimum standards/inefficient or
   Common chart of accounts                 non-existent policies/procedures
   Formal audits                           Few/no common data models or
   Security and privacy                     methods
   Regulated                               Limited/no audits
   Well documented                         Unregulated
   Part of planning process                Poorly documented
                                            Seldom part of planning process

                                 Need to treat data like a financial asset.

                                                                                6
Making and Selling a Business Case for Data Governance
  (1) Program         (2) Data
                    Management                                    (4) Business                 (5) Organization
   Strategy &                           (3) Projects
                     Operations                                    Operations                  Strategy & Policy
    Direction
                    Data Quality           MDM                        Sales &                       Merger &
   Structure
                                                                    Marketing                      Acquisition
                   Data Modeling             BI
     Scope                                                          Customer                       Planning &
                     Metadata              CRM                        Service                        Budget
  Prioritization
                    Management
                                            CDI                       Risk &                   Business Partner
     Policy        Data Integration                                Compliance                      Integration
   Roles &                                  DW
                    Data Lineage                                  Order to Cash                 Data Enrichment
Responsibilities                           EDW
                     Security &                                    Supply Chain                      Security &
  Authority &
                      Privacy               DM                                                        Privacy
 Accountability                                                  Taxes & Fees
                   Data Standards          ERP                                                       Customer
Issue Resolution                                                  Social and                         Definition
Business Align.    Business Rules     360° View                 Human Services
                                                                                                   Social Media
  Power to            Business         Data Migration           Mail & Transport
                      Process                                                                         Big Data
Question/Audit                        Data Integration             Asset Mgmt.
 Transparency       Stewardship                                      Business                           Cloud
   Weights &        Monitoring &                                    Analytics &
   Balances           Metrics                                        Research
     CoE              Reporting
   Agility to        Workflow                     Five primary areas to find value
   Respond          Management
                                                         From the book “Data Governance for the Executive” by James C. Orr

                                                                                                                             7
Information Asset Management Platform
 MDM Suite, Data Quality Suite, Integration Suite, Data Steward Portal




Join us in
    the
 Solutions
Showcase!
Thank you for your time and interest today!

                                                        Business Intelligence
                                                        Advanced Analytics
                                                        Performance Management

                                                        Data Quality Management
                                                        Master Data Management
                                                        Data Governance

                                                        Integration Infrastructure
                                                        Data Integration
                                                        Universal Adapter Suite
Jim Orr
Director, Information Management & Thought Leadership
Information Builders, Inc.
(719) 534-3116
James_Orr@IBI.com


                                                                                     9

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Information builders gartner mdm - barcelona 2-7-2013

  • 1. Welcome! Data Governance for the Executive Raising the Bar Jim Orr Director, Information Management & Thought Leadership Information Builders Barcelona, Spain “Only Information Builders achieves above-average ease of use, below-average implementation costs per user, above-average support for complex deployments February 7, 2013 and above-average business benefits.” 1
  • 2. 3 Important Points for Executives 1. Define the Purpose 2. Establish the Mindset 3. Demonstrate the Value 2
  • 3. The Purpose for Data Governance within MDM 1) MDM is LOADED with data policy decisions • Data architectures • Registry, centralized, co-existence, consolidated • Identity resolution • Data transformation • Data consolidation/survivorship • Data ownership rights • Data integrity rules • Customer/product definitions • Change data capture • Data conflict resolution 2) The Data Must be Correct • Accurate • Consistent • Reliable • Timely 3
  • 4. Data Governance for MDM Technology or business process? Business process allows the organization to coordinate, establish, and administer corporate data policies and practices. Technology allows for the implementation and automation of data policies established through the data governance business process. It requires both to be successful 4
  • 5. Data Governance Concepts Don’t be fooled by the term and be careful what you call it The term “data governance” can imply tactical, IT centric data management activities with a flair for bureaucracy. To the contrary it is about Information Asset Management that drives business performance. What you call it and how you view it as an organization can be the difference between success and failure From the book “Data Governance for the Executive” by James C. Orr 5
  • 6. Data Governance Concepts Analogy of two assets - Similar but managed very differently Financial Data Assets Data Assets  Centralized ownership, authority,  Fragmented ownership, little accountability authority or accountability  Standard policies and procedures  Minimum standards/inefficient or  Common chart of accounts non-existent policies/procedures  Formal audits  Few/no common data models or  Security and privacy methods  Regulated  Limited/no audits  Well documented  Unregulated  Part of planning process  Poorly documented  Seldom part of planning process Need to treat data like a financial asset. 6
  • 7. Making and Selling a Business Case for Data Governance (1) Program (2) Data Management (4) Business (5) Organization Strategy & (3) Projects Operations Operations Strategy & Policy Direction Data Quality MDM Sales & Merger & Structure Marketing Acquisition Data Modeling BI Scope Customer Planning & Metadata CRM Service Budget Prioritization Management CDI Risk & Business Partner Policy Data Integration Compliance Integration Roles & DW Data Lineage Order to Cash Data Enrichment Responsibilities EDW Security & Supply Chain Security & Authority & Privacy DM Privacy Accountability Taxes & Fees Data Standards ERP Customer Issue Resolution Social and Definition Business Align. Business Rules 360° View Human Services Social Media Power to Business Data Migration Mail & Transport Process Big Data Question/Audit Data Integration Asset Mgmt. Transparency Stewardship Business Cloud Weights & Monitoring & Analytics & Balances Metrics Research CoE Reporting Agility to Workflow Five primary areas to find value Respond Management From the book “Data Governance for the Executive” by James C. Orr 7
  • 8. Information Asset Management Platform MDM Suite, Data Quality Suite, Integration Suite, Data Steward Portal Join us in the Solutions Showcase!
  • 9. Thank you for your time and interest today! Business Intelligence Advanced Analytics Performance Management Data Quality Management Master Data Management Data Governance Integration Infrastructure Data Integration Universal Adapter Suite Jim Orr Director, Information Management & Thought Leadership Information Builders, Inc. (719) 534-3116 James_Orr@IBI.com 9

Editor's Notes

  1. Integrity talking points and information for Sales RepsData governance manager brings visibility into data quality across all data sources and measures it at a data and business levelMDM, collectively with the integrity suite provide a single, accurate, and trustworthy view of the businessWorks with all data types and technical environmentsIntegrated real time and batch deployment capabilitiesDQ Portal (Issue Tracker) provides work flow automation for data stewards and work groups.Data quality firewall prevents data from entering the system at the sourcePerformance can be monitored, measured, and reported at a data, standards, events, and business entity levelCollectively manages the complete data life cycle within an organization