Implementing the Data Governance Maturity Model

Implementing the Data Governance Maturity Model

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:

• Stakeholder Interviews: Engage with key personnel to understand their perspective on data governance and the quality of data governance capabilities.
• Document Review: Examine existing data policies, standards, and procedures.
• Surveys: Answer specific questions to assess the existence and maturity level of specific data governance capabilities.
• Current State Mapping: Identify which level of the maturity model your data governance program currently resides in.

3. Analyze the Assessment (Deciphering the Map)

Once you’ve assessed your current state, it’s time to analyze the findings. This step involves:

• Gap Analysis: Identify the gaps between your current state and the next level of maturity. Be mindful that you can’t skip a level.
• Prioritization: Determine which gaps to…