Idea Generation

Why Data Governance?

• Inseparable from data initiatives
• Required for long-term usefulness of data within governance domain
• Indicator of health of organization (operating risk)?
• Demonstrates organization's perception of data as an asset
• Minimizes downstream issues related to data quality
• Mechanism for correcting data issues

Which Perspective?

• Practitioner's perspective
• Implementation viewpoint
• Policy Maker's viewpoint
• Focus on Financial Services
• Capital Markets
• iBanks
• Asset Managers
• Balanced blend of scenarios & lessons learned vs. theory

What are the gaps?

• Current 'industry'...
• emphasis on theory in available literature
• bias towards organizational governance with minimal focus on metrics, implementation and operations/maintenance
• lack of clarity on value of data governance programs from the following perspectives
• success of a Reference Data/Master Data Management  (MDM) program
• minimization of operational risk
• compliance with existing regulations
• operational efficiency
• organizational agility

What are the Objectives?

• Education (self & audience)
• Research & synthesis of available content (print, web, industry publications...etc.)
• Creation of educational and commercial material
• Capture industry/practitioner's perspective
• Integrate practice with theory

Data Governance Idea Generation:

• Governance dimensions
• Measurement
• Sponsorship
• Alignment to strategy
• Impact on data quality
• Governance organization - theory vs. practice
• Governance operations