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01 — Guided Learning Guide

Mission: Learn Data Governance as a system of authority, accountability and organizational behavior before memorizing bodies, roles or tools.

Read in this order

  1. Core definition, boundaries & business drivers
  2. Operating qualities & six principles
  3. Governance organization & operating models
  4. Stewardship & accountability
  5. Policies, standards, procedures & Business Glossary
  6. Data asset valuation
  7. Activities 2.1–2.5 — define, assess, align, strategize
  8. Activities 2.6–2.11 — design, change, issue & compliance engines
  9. Activities 2.12–2.17 — implement & embed
  10. Tools, implementation, metrics & decision rules

Know cold

  • Definition: exercise of authority and control over management of data assets.
  • Governance ensures/directs/oversees; Data Management executes.
  • DG vs IT Governance: data asset vs technology investment/application/project portfolio.
  • Three operating qualities: Sustainable, Embedded, Measured.
  • Six principles: Leadership & strategy; Business-driven; Shared responsibility; Multi-layered; Framework-based; Principle-based.
  • Three operating models: Centralized, Replicated, Federated.
  • Major bodies: Steering Committee, DGC, DGO, Stewardship Teams, optional Local Governance.
  • Owner vs Business Steward vs Technical Steward.
  • Policy → Standard → Procedure distinction.
  • Four readiness areas.
  • Four strategy-package deliverables.
  • Five change outcomes: Awareness, Desire, Knowledge, Ability, Reinforcement.
  • Figure 20 narrowing escalation pattern.
  • Five supporting tool categories.

Current Drive source: Guided Learning Guide

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