1. Agile Approach to Information Strategy and Data Governance

2. Information Strategy and Data Governance WHY? Purpose: To better understand how data and information management impacts corporate revenue, costs, and risk 2

3. Information Strategy and Data Governance Goal: Use our data to drive growth, quality, and affordability Initial measurements for success: Unclear (Activities taking place, but little consensus and even less transparency) 3

4. Information Strategy and Data Governance Objectives: Provide approved consumers easy access to our data Rapidly integrate data from other sources Ensure data security and integrity Ensure the integrity of our data storage systems and applications Support the needs of key, strategic capabilities Promote consistency and clarity across data subject area domains 4

5. Recommendations Data governance and quality Business glossary and metadata management Application portfolio management Trusted information hub Project methodology for data integration Disconnect business logic from hard-coding into applications or desk-top assets Employ root cause problem-solving disciplines 5

6. Information Strategy and Data Governance Critical success elements to mature: All HealthNow data elements assigned governance/stewardship at the operational, system, and reporting/analytical levels (Data Governance & Data Quality framework) All information assets have governed terms and definitions and a published metadata map to illustrate data lineage (Business Glossary & Metadata Definitions to publish) Grow into Policy based on business-driven deliverables 6

7. Payback Hard dollar gains Data reuse efficiencies Reduced maintenance costs/business risk Faster time to market - opportunity cost Rationalize application/database portfolio Empowered, less-stressed employees Improved customer experience Identify revenue reclamation vs. data manipulation/report generation 7

8. Actions Arrange key staff training Organize trusted information hub Complete first-pass consolidation roadmap Appoint data stewards and data governors Disassociate business logic from key business subject areas Implement performance management tools Communicate information strategy throughout company 8

9. Data Governance & Quality Frameworks 2012 – Identify and acknowledge existing data stewards and governors 2013 – Empower and enable the data stewards and governors with process and technology accelerators 2013 - Data quality and performance metrics visualized on scorecards –Scorecards based on bottom-up tactical considerations (e.g. data extract speed to market) and top-down strategic drivers (e.g. Grow customer retention while reducing costs) 9

10. Questions? 10

11. Scoped Deliverable Centralize a trusted data set for reporting & analytics. Settled Medical Claims was chosen to assist financial claim analytics. Existing mainframe generated flat file was dimensionally modeled and made available to all analysts Field elements were given business appropriate terms and source->target definitions (functional & technical) 11

12. Data Stewards Identify problems, cleanse data IT Developers Cleanse data Line of Business Manager Monitor data quality Shared repository Data Quality Scorecard for Improved Results 12

13. Scorecards/Trends for Line of Business Managers Browser-Based Scorecards View and share Drill down to detailed records Take action to reduce impact on business Monitor quality through trending and alerts 13 Line of Business Manager

14. Settled Medical Claims Analytics Supports end-user tools (Cognos, SAS, SQL). Balancing routines to General Ledger. Quality Scorecards enforcing Source->Target success Built off of trusted source for medical claim financials Provides opportunities for scaling and replacement Business terms & definitions governed by business stakeholders Incrementally developed in an agile framework 14

15. Information Strategy & Data Governance: Multi-Year Program Consensus  Policy  Publish Continuous monitoring and improvement Maintaining engagement and momentum Research and Development as standard practices (Prove, Prototype, Implement) Iteratively grow an Information Ecosystem that satisfies multiple consumer needs while being minimally tethered to a single system or source 15

16. Questions? 16

17. Thank You George Yuhasz Director, Data Process and Governance yuhasz.george@healthnow.org 17