Data maturity refers to the level of organization, management, and use of data within a company. It is a measure of how well a company is able to govern, manage, and utilize data to drive decision-making, improve business performance, and gain a competitive advantage. A company with a high level of data maturity has a well-established data governance structure, processes for collecting, storing, and analyzing data, and a culture that values and utilizes data.

A company with low data maturity, on the other hand, may have little to no data governance structure, inadequate data management processes, and a culture that does not value or utilize data.

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Overall, data maturity is crucial for organizations as it allows them to effectively manage and utilize their data, improve operational efficiency, increase revenue, and gain a competitive advantage while also reducing risks and costs.

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There are different models and frameworks for assessing data maturity in business. In our methodology we use five levels of data maturity as:

Level 1: Data unaware: Companies at this level have little to no data governance structure in place and data is not used to drive decision making. They may have difficulty collecting and storing data, and have limited understanding of the value of data.

Level 2: Data reactive: Companies at this level have basic data governance structure and processes in place, but data is primarily used for reporting and compliance rather than driving decision making.

Level 3: Data proactive: Companies at this level have a more advanced data governance structure and processes in place, and data is used to drive decision making and support strategic initiatives.

Level 4: Data-driven: Companies at this level have a mature data governance structure and processes in place, and data is deeply embedded in the company's culture and decision-making processes. These companies use data to drive innovation and gain a competitive advantage.

Level 5: Data-intelligent : Companies at this level not only have a mature data governance structure and processes in place, they also have implemented Artificial Intelligence and Machine learning solutions to enhance their data maturity. These companies use data to predict and make proactive decisions, create new business models and revenue streams.

As a general rule, companies with higher data maturity are better positioned to make data-driven decisions and utilize data to improve their business performance.