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Rapid Recall Key 31–60

  1. Leader goals/messages can drift; catch disconnects before they create resistance.
  2. What DM is/why important, what is changing, and what behavior must change.
  3. Different groups need different education, training, and message depth.
  4. Communication builds awareness/understanding; training builds role/process/tool capability.
  5. Stewards, owners, custodians, and others on the front lines of change.
  6. Adoption; delta/improvement; enabling process/project/risk outcomes; innovation; trusted analytics.
  7. How well DM improves data-centric processes, projects, and risk response with measurable results.
  8. How well DM changes decision-making/analytics through improved trusted data.
  9. A shared organizational value/rule/constraint/behavior underlying strategy and guiding integrated decisions.
  10. Distributed participants need common reference points so behavior and decisions remain synchronized.
  11. Incremental, lower-risk improvement that allows adoption and maturity over time.
  12. Existing participants hold enterprise/data knowledge; inventory reduces HR/political disruption and exposes real gaps.
  13. After inventory/assignment, to validate titles, roles, compensation, and performance objectives.
  14. Decision-makers need enough organizational credibility that decisions will stick.
  15. Senior governance/decision forum connecting improved Data Management to business objectives; working groups handle tactical work.
  16. Data Management may not receive enough attention, especially early.
  17. Any internal/external person or group who can influence or be affected by the DM improvement program.
  18. Who is affected; role shifts; reactions; concerns; goals/priorities; resources/blockers/influencers/support.
  19. Control of critical resources, ability to block/influence others, and support level.
  20. Key Player; Meet Their Needs; Show Consideration; Lower Priority.
  21. Key Player.
  22. Meet Their Needs.
  23. Show Consideration.
  24. Lower Priority.
  25. Explain why the stakeholder matters and link DM outcomes to their personal/professional goals.
  26. Chief Data Officer organization; Data Governance bodies; Data Quality; Enterprise Architecture.
  27. Senior business/technology bridge and enterprise data strategist/ambassador.
  28. Data strategy; align requirements/resources; DG standards/policies/procedures; advise data initiatives; evangelize information management; oversee data use in analytics/BI.
  29. CDO owns/shapes strategy while IT/operations/LOB resources execute; functions may later fold under CDO as scale benefits emerge.
  30. DG establishes policy/guidance/accountability; DM implements and operates the practices.

← Recall 31–60 · Key 61–91 →