What is the purpose of a data analytics maturity model?

A data analytics maturity model serves the purpose of describing the various stages organizations go through in developing their data analytics capabilities. It provides a framework that allows businesses to assess their current level of analytics sophistication and identify the steps necessary to advance to higher levels of proficiency. This model typically outlines a progression from basic data collection and reporting to more advanced capabilities such as predictive analytics, prescriptive analytics, and data-driven decision-making. Understanding where an organization falls within this maturity model can help in strategic planning and resource allocation for improving their analytics capabilities over time.

The other choices, while they touch on aspects of data and analytics, do not accurately reflect the primary purpose of a maturity model. Forecasting future data trends, ranking organizations based on data collection, and creating storage protocols are distinct activities that do not align with the goal of assessing and enhancing analytics capabilities as the maturity model does.