Implementing the Data Governance Maturity Model

Implementing the Data Governance Maturity Model

George Firican
3 min readJan 5, 2024

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Embarking on the journey to improve your organization’s data governance is akin to embarking on a quest for continuous improvement. Here’s how you can navigate this journey using the Data Governance Maturity Model:

1. Select the Right Model (Choosing Your Path)

Before you begin, you must choose the path that aligns best with your organization’s culture, industry, and specific needs. Consider factors such as:

  • Compatibility: Does the model align with your organizational goals and industry standards?
  • Complexity: Is the model appropriately complex for your organization’s size and maturity?
  • Resources: Do you have the necessary resources (time, personnel, budget) to implement this model or to build it from scratch if you don’t choose an off the shelf one.

2. Assess Your Current State (Understanding Your Starting Point)

Assessment is like taking a snapshot of your current data governance practices. There are different ways to conduct this assessment and it really depends on the data governance maturity model used. Some come with their own survey-type assessments. Regardless, an assessment may involve any or all of the following:

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George Firican
George Firican

Written by George Firican

Data governance & BI professional, ranked among Top 5 Global Thought Leaders on Big Data, founder of LightsOnData.com and Co-Host of the Lights On Data Show.