1) Many organizations have little or no focus on data governance, leading to poor data quality and inefficiencies, but most CIOs plan to implement enterprise-wide data governance in the next three years. 2) Data governance is defined as a system of decision rights and accountabilities for managing data availability, usability, integrity and security across an organization. 3) Critical success factors for effective data governance include clear accountability, standards, cross-divisional collaboration, and metrics for monitoring compliance.

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

2. IS6120 Important Issue CIOs, seem to realize the cost of 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 01/03/11 IS6120 (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.” 01/03/11 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) 01/03/11 IS6120

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) 01/03/11 IS6120

6. Components 01/03/11 IS6120 Data Governance for the purpose of using data as an asset driving strategic objectives. http://www.dcervo.com

7. Characteristics of Data Governance 01/03/11 IS6120

8. Focus Areas Policy, Standards, Strategy Data Quality Privacy, Compliance, Security Architecture Integration, Analysis Data Warehouse & BI Management Alignment 01/03/11 IS6120

9. Governance Model 01/03/11 IS6120

10. 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 01/03/11 IS6120 (Marinos, 2004)

11. 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 01/03/11 IS6120

12. 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 01/03/11 IS6120