Data maturity

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. (Palmer, 2021)

"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.

"Sisense tells us that "data maturity is a measurement of how advanced a company's data analysis is." Seems like a reasonable definition, but what does that really mean?

"Data maturity is not just about the role that data plays within an organization's day-to-day operations as much as it is about how it can enable organizations, of all shapes and sizes, to do something in the future that it couldn't have done in the past without using data. When looking at data maturity from this angle, it becomes a question of empowerment: how can data be leveraged in a powerful way to unlock new insights and innovations that can eventually turn ideas into reality?

"For us, data maturity is a journey of exploration—where organizations not only get more acquainted with the data sources they have to work with but also learn how to leverage it in oftentimes surprising, eye-opening, and unexpected ways. In fact, once organizations take the big step from seeing data as merely a source of information and, over time, begin to understand its real potential as an influencer—or even disruptor—of decision-making, an organization's desire to become more data mature will likely (and immediately) increase tenfold."

(Palmer, 2021)