1. Data Governance Dr. Uma G. Gupta Professor of Business
State University of New York at Buffalo State

2. Agenda What is Data Governance? Why Teach Data Governance?
Concepts to Cover
Case Study
Agenda

3. Overview Data governance: Fit for Purpose.
Four Dimensions: Availability, Usability, Integrity, and Security.
Enterprise-wide Data Assets: People, Processes, Policies, and Technology
Overview

4. Benefits Enterprise Information Management Data is a Monetary Asset
Is Data “Fit for Purpose?”
Accuracy
Timeliness
Relevance
Completeness
Understood
Trusted
Business Rules Conformance
Benefits

5. Think about context IRS DMV Department of Justice Utility Companies
Airlines and airports
Think about context

6. Data Governance: A Case Study
A utility company
Data resides on legacy systems and enterprise-wide systems
990,000 customers
180 intense data users
8 key stakeholders
2,000 staff
950,000 assets
Asset base of $3.5 billion

7. We think about DG when….. We are in trouble! How?
Data management is adhoc and arbitrary
Lack of a coherent strategy
Source database is corrupt or inaccessible
Difficulty getting consensus on data management issues
Data improvement projects are unsuccessful
Standardization efforts are not taken seriously
Data quality is a moving target
No one knows what the heck is going on!

8. Data Governance Framework
Strategy: Data Governance Council
High-level
Create and Endorse policies
Resolve divisional conflicts
Align business and IT initiatives from a data perspective
Data Governance Framework

9. Data Governance Framework
Tactical: Data Custodian
Responsible for Data Quality
Responsible for Data Management plan
Responsible for Data Cleansing plan
Change Management
Stakeholder Management

10. Data Governance Framework
Tactical: Data Steward
Detailed knowledge of business process and data requirements.
Translate business requirements into technical requirements.
Systems management and project management.
Train and educate data users.
Data Governance Framework

11. Data Governance Framework
Operational: Users
Anybody who has their paws in data creation, conversion, and reporting!
Data Governance Framework

12. Corporate Governance IT Governance Data Governance
Data governance tools

13. Works cited
Cheong, L.K., and Chang, V., “The Need for Data Governance: A Case Study,” 18th Australasian Conference on Information System The Need for Data Governance, 5-7 Dec 2007, Toowoomba
Marijn Janssen ⁎, Haiko van der Voort, AgungWahyudi, “Factors influencing big data decision-making quality”, Delft University of Technology, Faculty of Technology, Policy and Management, Jaffalaan 5, 2628 BX Delft, The Netherlands
Wende, Kristin & Otto, Boris: A Contingency Approach to Data Governance.  th International Conference on Information Quality (IQ-2007). - Cambridge, USA.