The 12-Point Data Maturity Checklist Every SME Should Run This Quarter

Aug 12, 2026 · 7 min read

Most SMEs don't actually have a data problem. They have a data trust problem — three people in the same meeting quoting three different revenue numbers, each pulled from a different spreadsheet, each technically "correct" as of whenever it was last updated.

Before we touch a single dashboard or model with a new client, we run the same 12-point self-assessment internally. You can run it yourself this quarter, no consultant required, and it'll tell you exactly where to focus first.

1–3: Source of truth

• Can any two people in your company pull the same number for last month's revenue, independently, and get the same answer?
• Is there a single system each department trusts, or does everyone keep a "shadow spreadsheet" just in case?
• When numbers disagree, is there a documented process for which source wins?

4–6: Pipeline health

• Is data updated automatically, or does someone manually export and re-upload it on a schedule?
• If that person went on leave tomorrow, would reporting break?
• Do you know the last time a data pipeline silently failed without anyone noticing?

7–9: Governance and access

• Can you say precisely who has access to sensitive customer or financial data, and why?
• Is there a data retention policy, or does everything just accumulate indefinitely?
• Would you pass a basic data audit if a customer or partner asked for one tomorrow?

10–12: Decision-readiness

• Can leadership see this month's numbers today, or only after month-end close?
• Is there at least one predictive metric (churn risk, demand forecast, etc.) informing decisions, or is everything backward-looking?
• If you tried to build an AI model tomorrow, is there enough clean historical data to train it on?

Want the interactive version with scoring? Grab our free downloadable checklist and run it with your team this week.