A structured evaluation template that assesses data quality, tooling, ownership, governance, skills, and analytics workflows to reveal gaps and prioritized improvements.
Why an Analytics Maturity & Data Governance Audit?. Most analytics problems aren’t solved by another dashboard or a new tool. They begin with unclear ownership, inconsistent data, and decision processes that don’t link to measurement. This audit gives you a practical, evidence-led view of where your analytics practice...
How to run the audit and turn results into a prioritized roadmap. 1. Prepare: gather a small, cross-functional team. Invite 2–6 people who know the work: an operations or service owner, an analyst or BI developer, a systems/IT contact, and a product or service manager where possible. Block 60–90 minutes for a first...
Maturity indicators: What levels 1–5 look like. This reference translates numeric scores into observable indicators you can validate during the audit. Use it to make scoring consistent across teams. Score 1 — Fragmented / Ad-hoc. Data quality: frequent, unresolved errors; no reconciliation processes. Ownership: no...