1. DATA GOVERNANCE: Managing Access Jeremy Singer Suneetha Vaitheswaran

2. PRINCIPLES  IT is not the steward  Viewing vs. Doing  The right data at the right time to the right user  Not all data is sensitive or poses risk  Roles and Rules  More Granularity means more Cost

3. CULTURE  Public institutions, elite privates  Salary..  Granularity driven by whom?  Central vs. distributed stewards  The fear factor  Feeds, Feeds, Feeds

4. One Case: The UofC  Legacy systems so DW must build custom security model, Row and column  Each model driven by steward, still silo’ d  Department pressure for additional granularity  Substantial administration and workflow  Data Usage Requests to document feeds  Data Stewardship Council surfaces issues

5. APPENDIX

6. Data Governance Objectives  What is Data Governance?:  Personnel, policies, procedures, and organizational structures to make data accurate, consistent, secure, and available to accomplish UCSD’s mission  Why is Data Governance necessary?:  Migrate data from legacy systems into new systems and formats  Integrate and synchronize data from different systems that use different formats, field names, and data characteristics  Reconcile inconsistent or redundant terminology into single data dictionary providing agreed upon definitions and properties  Report data in standard formats and with standard interpretations 6

7. Data Governance Tasks  Define and Implement Governance framework  Define roles and responsibilities of governance members  Create procedures to define, review, approve data standards  Establish and coordinate governance council  Create, capture and maintain Enterprise Metadata  Create standardized definitions for data elements, attributes  Maintain enterprise shared metadata – naming and data format standards, classification, business rules, data models  Govern standard Business Intelligence processes  Create procedures to define, review, approve BI standards  Identify enterprise BI requirements  Identify and promote enterprise BI solutions 7

8. Governance Team Member’s Responsibilities  Identify specific data needed to operate business processes  Record business definition and appropriate metadata (business name, description, valid values)  Identify opportunities to share and re-use data  Identify data security, definition, retention, attribution, quality standards  Ensure quality, completeness, and accuracy of data definition  Communicate concerns/issues to appropriate decision makers  Identify enterprise BI requirements and solutions  Review/approve changes in enterprise BI solutions 8