Lesson 8 — Reassessment, Readiness & Governance
Reassessment makes maturity a trend
Maturity management is not a one-time label.
BASELINE → IMPROVE → RE-ASSESS → COMPARE TREND → NEW RECOMMENDATIONS → IMPROVE AGAIN
Reassessment should use defined parameters and a published schedule so the organization can distinguish real capability change from measurement change.
Important comparability factors include: - scope; - criteria/method; - evidence coverage; - timing; - systems/business units included; - any weighting/normalization rules.
If the second assessment covers half the original systems and different business units, a higher score cannot be accepted as improvement without qualification.
Rate of change
A DMMA rating is a snapshot.
Rate of change describes movement over time.
A lower-maturity capability that is improving rapidly can have a healthier trajectory than a higher-scoring capability that is stagnant.
Assess whether you can assess
Chapter 15 identifies readiness risks that can distort or derail the DMMA itself.
Lack of buy-in
Risk: weak participation or resistance.
Mitigation: socialize purpose/benefits, use examples, engage an executive sponsor.
Lack of expertise, time, or in-house capability
Mitigation: use specialists/third parties where appropriate and require training/knowledge transfer.
Weak communication / weak “data speak”
Risk: participants interpret criteria inconsistently or debates collapse into system terminology.
Mitigation: orient participants to Data Management concepts and connect questions to concrete business problems.
Stale or incomplete assets
Mitigation: flag limitations, adjust/balance interpretation, seek current corroboration.
Narrow scope
Mitigation: use a pilot or quick comparison outside the deep focus; clearly state what is not represented.
Inaccessible staff/systems
Mitigation: reduce horizontal scope to what can be credibly assessed rather than pretend missing evidence is covered.
Surprises such as regulatory change
Mitigation: build flexibility into the workstream and refocus deliberately.
Governance of the DMMA lifecycle
Normal oversight belongs to Data Governance.
If formal Data Governance does not exist, oversight falls to the steering committee or management layer that initiated the DMMA.
An executive sponsor provides business authority and connects improvement activity to strategic objectives.
Every in-scope function should have a voice in execution, methodology, results, and roadmaps; the framework provides common language to reconcile those perspectives.
Changed-fact drill
Base: no formal DG office → initiating steering/management body oversees.
Changed fact: formal Data Governance becomes established → normal oversight should move there.
Source
pp. 515–516, 518–520.