Data Maturity Model

The Data Maturity Model [DMM]

This is a series of posts, aimed at explaining the concept of the « Data Maturity Model » and what it achieves.

What is the Data Maturity Model ?

The data maturity model is a framework for enterprises as well as projects, based on the usage and value of their data. It helps them :

  • to position themselves in their usage of data,
  • to gauge their performance using their data,
  • to leverage their data to perform better (for projects),
  • to leverage their data to create new value,
  • and in the course, become a « data-driven » organisation.

There are three principal elements in the model, as follows :

  1. Different stages of maturity in the process of evolution.
  2. Metrics  for analysing where we stand and for measuring one’s evolution. Hence they are of two types :
  • « snapshot metrics» to give a clear idea of where you stand,

  • « evolution metrics» to show the dynamics of your evolution and how far / close you are from a « data-driven organisation.

3 « Data Neutrality Framework » : to analyse the inflow and outflow of data in an entity (organisation or project), and to understand the value-creation in the different data flows.

In this series of posts, the different concepts will be explained clearly.

Certain examples can be provided from projects and consulting assignments that I have led using the Data Maturity Model. For this purpose, please feel free to contact me by email.

Next page: The « Data Maturity Model » – Part 1 [Introduction]