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Scenarios 11–15

Scenario 11 — Executive Wants Level 5 Now

Situation: leadership wants every KA at L5 within twelve months from current L1–L2 evidence.

  • Primary problem: unrealistic acceleration/targeting.
  • Leading KA: DMMA.
  • Supporting: Data Governance; Organizational Change.
  • Roles: executives, assessment team, roadmap owners.
  • Best action: explain ordered progression, prerequisites, cost/benefit/impact; create staged targets.
  • Weaker response: agree to skip stages.
  • Changed fact: a specific capability already exhibits L4 characteristics and has justified need/resources → L5 may be realistic there.
  • Source: pp. 503, 507–508, 515.

Scenario 12 — Stale Architecture Repository

Situation: most architecture/policy evidence is 18 months old; participants claim it still reflects current practice.

  • Primary problem: stale-evidence risk.
  • Leading KA: DMMA.
  • Supporting: Data Architecture; Metadata Management.
  • Roles: assessors, repository owners, governance.
  • Best action: flag age/uncertainty, balance rating, seek current corroboration.
  • Weaker response: official repository automatically equals current truth.
  • Changed fact: current execution evidence proves old documents remain active/accurate → they can support rating with corroboration.
  • Source: p. 518.

Scenario 13 — No Data Language

Situation: workshops collapse into system debates because participants lack shared Data Management vocabulary.

  • Primary problem: communication/readiness risk.
  • Leading KA: DMMA.
  • Supporting: Data Governance; Organizational Change.
  • Roles: assessment lead, sponsor, participants.
  • Best action: orient participants to concepts and concrete business problems before detailed rating.
  • Weaker response: push ahead; criteria will be interpreted inconsistently.
  • Changed fact: vocabulary is shared but evidence missing → shift to evidence collection.
  • Source: p. 518.

Scenario 14 — Framework Tied to Vendor Tool

Situation: maturity model requires one vendor platform and dictates implementation.

  • Primary problem: framework-selection misfit.
  • Leading KA: DMMA.
  • Supporting: Data Governance; technology strategy.
  • Roles: assessment lead, procurement, executives.
  • Best action: prefer neutral, technology-neutral, non-prescriptive, repeatable framework fitting objectives.
  • Weaker response: tool alignment equals maturity integrity.
  • Changed fact: objective is specifically vendor-platform adoption readiness, not general DM maturity → tool-specific assessment may fit, but it is a different objective.
  • Source: pp. 516–517.

Scenario 15 — DMBOK Used as Checklist

Situation: selected framework is mapped to DMBOK KAs, activities, deliverables to identify hot spots.

  • Primary problem: appropriate DMBOK-supported assessment planning.
  • Leading KA: DMMA.
  • Supporting: all mapped KAs.
  • Roles: assessment designers, DM practitioners.
  • Best action: use DMBOK as structured checklist/mapping aid while preserving selected framework/method.
  • Weaker response: replace framework with ad hoc DMBOK scoring.
  • Changed fact: if an internal maturity framework is deliberately built from DMBOK, it must define levels, scoring, repeatability, governance; a checklist alone is not a maturity model.
  • Source: p. 517.

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