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Larkinized LLC

Data & Analytics

Data Architecture Maturity Assessment

Start immediately — no email required. Read the scoring guidance for each question — honest evidence-based scores produce actionable results. When you finish, print or save your scorecard, and optionally download the companion playbook.

Data Governance

Governance makes data trustworthy and usable — owners, policies, and accountability.

Rate each statement: 1 = not true · 3 = partially true · 5 = consistently true with evidence

Critical data domains have named owners and stewards with published accountability.

If "IT owns all data" is the answer, score 1–2.

What makes a 1 vs a 5?
  • Score 1: 1 — No data ownership model.
  • Score 5: 5 — Domain owners in catalog; stewards for quality; escalation path defined.
Data classification and privacy requirements apply to stores and integrations.

PII in spreadsheets and uncontrolled replicas indicate low maturity.

What makes a 1 vs a 5?
  • Score 1: 1 — Classification ad hoc; privacy reactive.
  • Score 5: 5 — Classification tagged; privacy by design in pipelines; DPIA where required.
Data standards (naming, definitions, formats) are documented and enforced.

Same metric defined three ways across dashboards? Score low.

What makes a 1 vs a 5?
  • Score 1: 1 — Inconsistent definitions; metric debates in every meeting.
  • Score 5: 5 — Business glossary linked to physical fields; change control on definitions.

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