Data maturity is a measurement of the extent to which an organization is utilizing their data. To achieve a high level of data maturity, data must be deeply ingrained in the organization, and be fully incorporated into all decision making and practices. Data maturity is often measured in stages.

Why is data maturity important?

Data mature organisations have the advantage of being able to spot opportunities way in advance whilst they’re still invisible to the human eye. Through leveraging the power of predictive analytics, organisations are able to use their existing data to anticipate what will happen in the future.

What is data analytics maturity?

An analytics maturity model is a sequence of steps or stages that represent the evolution of the company in its ability to manage its internal and external data and use this data to inform business decisions. These models assess and describe how effectively companies use their resources to get value out of data.