1. Indranil Bardhan, UT Dallas Kirk Kirksey, UTSW Medical Center

2. Your organization has funded an enterprise-wide analytics initiative. Consultants have constructed a scalable and extensible technology architecture that will become operational in 30 days. You have been asked, by your CEO, to devise an operational governance approach for this new function. Your charge is not to oversee the technology (someone else gets this job), Your focus is data and information. Your governance solution must insure the highest levels of information functionality, timeliness, integrity, relevance, accuracy, and security for your organization’s analytic assets. 2

3. Source Systems EDW Data Staging ETL – Clean, Reconcile, Combine, De-dup, standardize, transform Enterprise Data Warehouse Conformed Data Model Load with Business Rules BI Tools Nursing Financial Bundles KPIs & Dashboards, Reporting, Analytic Tools Specialized Data Request Physician 3

4. Data governance (DG) refers to the overall management of the availability, usability, integrity, and security of the data employed in an enterprise. Source: searchdatamanagement.techtarget.com/sDefinition/0…searchdatamanagement.techtarget.com/sDefinition/0… Data governance is the practice of organizing and implementing policies, procedures and standards for the effective use of an organization’s structured/unstructured information assets. Source: www.sdn.sap.com…www.sdn.sap.com… Data Governance: The execution and enforcement of authority over the management of data assets and the performance of data functions. Source: www.tdan.com/view-articles/5037www.tdan.com/view-articles/5037 Data governance is the decision-making process that prioritizes investments, allocates resources, and measures results to ensure that data is managed and deployed to support business needs. Source: www.b-eye-network.com/view/8393www.b-eye-network.com/view/8393 4

5. GOVERNANCE SCOPE What is being governed? What is not being governed? Critical Components WHO HAS INPUT Stakeholders? Wide? Narrow? Related to governance style. WHO MAKES THE DECISION Vote. Chair-person. Decision making rules ENFORCEMENT How are governance decisions enforced? 5

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7. High Priority Approval Approve Selectively Approve Selectively Do Not Approve RISK BUSINESS VALUE Low High Source: Jeffery & Leliveld, Sloan Management Review, 2004 Analytics Initiative Management involves “managing IT as a portfolio of assets to improve the portfolio performance by balancing risk and return” Question: How do you measure IT Risk? 7

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9. IT Leadership Committee This mechanism is particularly important in large, multi-business enterprises, where responsibilities for infrastructure services are both enterprise wide and at the business-unit level. Process teams Should include IT members to better ensure that IT is leveraged when business processes are re-engineered. Business/IT relationship managers They act as the intermediary between the business and IS, playing a critical daily two-way role by helping IS understand how the business operates and giving the business units an entry point to IS. IT Councils IT executives generally have overlapping memberships from IT & business units and provide focused environments for considering several levels of IT policies and investments. 9

10. Architecture Committees These define architectural guidelines and often involve both business and IT management. Decisions about specific technologies, though, usually reside with the IS organization. Service-level agreements, tracking of IT projects and resources consumed, tracking the business value of IT and chargeback arrangements These are all mechanisms that bring a level of professionalism and discipline to managing IT services supply and demand. Capital Approval Committees Responsible for evaluating and approving major capital expenditures. They use the same process and procedures to evaluate IT-related project proposals. 10

11. Prioritize Source System Import Define Standard Institutional Report Library Evaluate and Recommend Analytic Software 11

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13. Source Systems EDW Data Staging ETL – Clean, Reconcile, Combine, De-dup, standardize, transform Enterprise Data Warehouse Conformed Data Model Load with Business Rules BI Tools Nursing Financial Bundles KPIs & Dashboards, Reporting, Analytic Tools Specialized Data Request Physician FEDERATEDFEDERATED 13

14. Source Systems EDW Data Staging ETL – Clean, Reconcile, Combine, De-dup, standardize, transform Enterprise Data Warehouse Conformed Data Model Load with Business Rules BI Tools Nursing Financial Bundles KPIs & Dashboards, Reporting, Analytic Tools Specialized Data Request Physician CENTRALIZEDCENTRALIZED 14

15. 1.Write (or Adopt) and explain the definition of data governance you will adopt in your new role. 2. Describe the Top 5 most important internal (analytics function only) components of scope for governing the organization’s new analytic function. Explain the implications of NOT effectively governing these components. 3.Describe the Top 5 most important external (outside the new analytics function – things affecting other business units) components of scope for governing the organization’s new analytic function. Explain the implications of NOT effectively governing these components 4.Recommend a governance structure/organization and governance style(s) for your organization’ new analytic function. 15