Tool · Data maturity
Is your data agent-ready?
Twelve statements across five areas. The result gives you a level, the three biggest gaps, and a 90-day sequence. It all runs in your browser, no answer is stored or sent to us.
Twelve statements about your data estate
Check what already holds true. The result gives you a level, the three biggest gaps, and a 90-day sequence.
0 of 12
Level 1, scattered
Data sits in parallel lists. Start by naming the source of truth per data type before automating anything.
- Sources0/3
- Ownership0/2
- Definitions0/2
- Quality0/3
- Governance0/2
- 01Name a system of record per data type and write it down.
- 02Collect offers and content in a machine-readable format instead of documents.
- 03Tag history with outcomes, otherwise no model can be evaluated.
Day 1 to 30
Inventory the sources and name a system of record per data type.
Day 31 to 60
Name field owners and clean up the ten worst duplicates.
Day 61 to 90
Automate a single low-risk flow, for example a send or a post.
The test runs in your browser. No answer is stored and nothing is sent to us.
Four levels
Level 1, scattered
Data sits in parallel lists. Start by naming the source of truth per data type before automating anything.
Level 2, consolidated
Data lives in one place but means different things to different people. Definitions are next.
Level 3, structured
Data supports qualification, campaign targeting, and sales. Quality now needs continuous measurement.
Level 4, living
Data is governed and measured. Forecasting and optimisation are reasonable next steps.
The levels are based on Empley's delivery model, not on measured results from a named customer. Last updated 2026-09-03.
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