agile approach to information strategy and data governance
TRANSCRIPT
Agile Approach to Information Strategy and
Data Governance
Information Strategy andData Governance
WHY?
Purpose:•To better understand how data and information management impacts corporate revenue, costs, and risk
2
Information Strategy andData 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
Information Strategy andData GovernanceObjectives:•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
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
Information Strategy andData 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
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
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
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
Questions?
10
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
Data Stewards
Identify problems,cleanse data
ITDevelopers
Cleanse data
Line of Business Manager
Monitor data quality
Sharedrepository
Data Quality Scorecard for Improved Results
12
Scorecards/Trends forLine 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
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
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
Questions?
16
