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What are the typical stages of data maturity for a growing company?
Models vary, but a common progression is: ad hoc spreadsheets, then basic standardised reporting, then a central warehouse with trusted metrics, then self-service analytics, and finally predictive and automated decision-making. Most small and mid-sized companies sit between the first and third stages.
A rough description of each:
- Ad hoc: data in individual files, answers depend on who you ask
- Reporting: regular reports, still manual, definitions vary
- Integrated: data centralised, shared definitions, automated refresh
- Self-service: staff explore data themselves within governed limits
- Predictive: models inform planning and operations
You do not need to reach the top. Aim for the stage that matches your decisions and resources.
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