• Operational

  • Descriptive

  • Planning

  • Predictive

  • Prescriptive

What is

Data Maturity

Data maturity is the extent to which an organisation utilises the data they produce. The more they do with their data, more data mature they are, and consequently the higher up on the maturity scale they are. This means that an organisation that uses advanced Business Intelligence and analytics software to analyse their data can be considered to be far more mature than an organisation that relies on spreadsheets to carry out reporting. You can think of the data maturity journey as a scale. Take our data maturity quiz to find out where your business is on the maturity scale.

Data maturity quiz

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The five lavels of business data maturity

Take our quiz to find out which data maturity stage your business is at, or explore the stages below and find out how to reap the benefits of progressing your business to the next stage.

STAGE 1 - Operational

Reporting is limited to tasks that are critical for business operations, with no formal BI & Analytics tools or standard in place to support this, and spreadsheets used as a primary means of reporting.

STAGE 2 – Descriptive

BI & Analytics are in their early stages of implementation and are used to report on activity.

STAGE 3 – Planning

Using tools like scenario planning, BI & Analytics are used not just to report on what’s happening, but to plan for the future.

STAGE 4 – Predictive

Data Analytics is used to predict what will happen five, ten, even twenty years from now and to pinpoint the key drivers of trends.

STAGE 5 – Prescriptive

Users no longer have to input variables into the system to predict future outcomes. Instead, Machine Learning and Artificial Intelligence make it possible to detect issues before they’re even considered.