How To Govern Data Effectively

Transcription

1 IBM Data Governance Council The Six Questions every Organization should ask about Data Governance Steven B. Adler IBM Data Governance Solutions

2 What Data? Why Governance? Data: Structured Unstructured Metadata Video, Audio, Multi-Media Print, , and Archived Software Code Patents, IP Protocols, Message Streams These are all digital assets Governance: Corporate governance is about controlling human self-interest to benefit the common good: Increased Revenue Lower Costs Reduced Risk IT has become the engine for business innovation and growth and it must be governed to demonstrate contribution to the business bottom-line. To govern IT effectively, the value of Data must be assessed, Risk calculated, outcomes measured and constantly re-evaluated. 2 10/21/07

3 Without Data Governance People make mistakes Those mistakes more commonly result in losses than hackers Those losses effect every aspect of IT and business But data is still an abstract concept and governance needs technology to be improved

4 The IBM Data Governance Council was formed in 2004 to explore enterprise challenges and develop solutions Customers Business Partners Academia Abbott Huntington Bank AirMagnet NCSU ABN Amro IBM CIO Office Application Security Nova Southeastern Alltel Key Bank Axentis Bucerius Law School American Express MasterCard Continuity Software Bank of America Merrill Lynch Guardium Bank of Montreal Monaris Intellinx Bank of Tokyo/Mitsubishi Novartis Lumigent Bell Canada Nordea Bank OpenPages BITS Northwestern Mutual Organizational Policy Inst. Cadence Design Principal Financial Paisley Citigroup Regions Financial Corp. RiskWatch City of New York, FISA TIAA-CREF SecNap Danske Bank TeliaSonera Semantic Arts Deutsche Bank VP Securities Services SPS Security Discover Financial Washington Mutual Tizor Equifax Wachovia Valid Technologies Fannie Mae The World Bank Varonis Freddie Mac Zantaz

5 Elements of effective Data Governance Outcomes Data Risk Management & Compliance Value Creation Enablers Requires Organizational Structures & Awareness Policy Stewardship Core Disciplines Enhance Data Quality Management Information Life-Cycle Management Information Security and Privacy Supports Supporting Disciplines Data Architecture Classification & Metadata Audit Information Logging & Reporting 5 5 5

6 Data Governance Council Maturity Model Business Transformation

7 After the assessment, you need to benchmark where you are and where you want to go

8 IBM Technology and Solutions enhance your Data Governance Requires ART Data Risk Management Outcomes CLA Value Creation Models GBS Enablers Organizational Structures & Awareness Enhance Stewardship ReqPro GBS Policy Core Disciplines GNR & EAS Data Quality Management Information Life- OptimCycle Management TIM/TAM EAS Information Security and Privacy Supporting Disciplines Supports Models Data Architecture GBS Classification & Metadata BI ISS Consul Audit, Logging & Reporting

9 Data Governance Balanced Scorecard Element Organization Stewardship Policy Data Quality Current Maturity Traditional Structure ( 2 ) Data Stewards only ( 2 ) Ad-hoc policy ( 1 ) management Spreadsheet-based ( 1 ) DQ program Desired Maturity community based self- ( 4 ) governance Stewardship in every ( 3 ) discipline Structured policy ( 3 ) management Process oriented DG ( 4 ) program Architecture Stovepipes of data ( 1 ) Federated and ( 4 ) integrated Metadata Security Risk Value No metadata ( 0 ) management Enterprise Access Control Faith-based Risk ( 1 ) Management Command Economy ( 1 ) Labor Theory End-to-end metadata ( 4 ) management Context-based entitlements Fact-based Risk ( 4 ) Forecasting Demand Economy ( 5 ) Utility Theory ILM Enterprise Backup ( 2 ) Policy-based backup ( 3 ) Audit Quarterly Audits ( 1 ) Automated self- ( 5 ) assessments KPIs # new ideas implemented # stewardship communities Data utility index Price of data Data availability index Data supply ratio Business glossary Metadata elements # Incidents $ Capital Reserve # Losses Efficiency of IT service pricing Retention/deletion ratio # Failures reported # audits passed Outcome 78% employee satisfaction rate 125% more stewards 45% increase in reg. compliance 24% reduction in fraud Lower data management costs 12% reduction in policy failure 98% Customer satisfaction 12% net underwriting profit 8% Net IT operating profit 23 Terabytes saved 24% reduction in IT project failure

10 IBM Data Governance Council Questions