Introduction to Data Governance in relation to Business Intelligence!

1. Data Governance IS6120 Enterprise Business Intelligence 22/02/2011

2. IS6120 Important Issue CIOs, seem to realize the costof poor data governance Planning to take action 39% of organizations have little to no focus on data governance 45% have pockets of data governance for critical data 19% have established enterprise-wide data governance 72% of all CIOs surveyed were targeting enterprise-wide data governance within the next three years 22/02/2011 IS6120 2 (Accenture’s 2007 CIO Survey)

3. Data Governance Data is valuable “... a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods.” 22/02/2011 3 IS6120 (The Data Governance Institute (DGI))

4. “The true function of governance is to actively link integrated business and technology teams with corporate and strategic initiatives. Within this context, governance becomes an integral part of enterprise line management. Executed properly, the governance function can actively and effectively reallocate business, technology, reporting and analytic resources to align with rapidly changing market demands” (Duffie Brunson from B-eye-Network) 22/02/2011 IS6120 4

5. Definitions Data governance refers to the overall management of the availability, usability, integrity, and security of the data employed in an enterprise. Data Governance is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances, using what methods. “data needs to be governed as it has neither will nor intent of its own. Tools and people shape the data and tell it where to go. Therefore, data governance is the governance of people and technology” (Thomas, 2006) 22/02/2011 IS6120 5

8. Processes

9. Business Rules

10. People & Roles

12. Transformation

13. Integration(Philip Russon, Senior Manager at TDWI Research) 22/02/2011 IS6120 7

14. Focus Areas Policy, Standards, Strategy Data Quality Privacy, Compliance, Security Architecture Integration, Analysis Data Warehouse & BI Management Alignment 22/02/2011 IS6120 8

15. Governance Model 22/02/2011 IS6120 9

16. Critical Success Factors Accountability and strategic accountability Standards Managerial blindspot Embracing complexity Cross divisional issue Metric Partnership Choosing strategic points of control Compliance monitoring Training and awareness 22/02/2011 IS6120 10 (Marinos, 2004)

17. Steps for Success Step 1: Get a governor and the right people in place to govern Step 2: Survey your situation Step 3: Develop a data-governance strategy Step 4: Calculate the value of your data Step 5: Calculate the probability of risk Step 6: Monitor the efficiency of your controls 22/02/2011 IS6120 11

18. Conclusion General consensus being that most data governance programs - if they exist at all - remain extremely immature and full with risks. The most common roadblocks range from minimal to no executive sponsorship, IT-driven efforts with limited to no business participation, lack of business justification and the ever-present likelihood of "de-prioritization" when a more compelling initiative or fire drill comes along. Increase Focus on Business Process to Build Momentum 22/02/2011 IS6120 12