Data Governance Pack

Our framework is designed to provide a comprehensive overview of your organization's current data governance practices. From there, we provide you with the tools you need to make technical, process, policy and cultural change across the organization & to continually measure your impact.

Note that this provides a framework to start from. You must assess your own business & adapt the framework to ensure your own compliance.

Start by assessing

This questionnaire is designed to provide a comprehensive overview of your organization's current data governance practices. By systematically addressing key areas such as organizational goals, regulatory compliance, data interaction, and governance frameworks, it aims to pinpoint strengths and areas for improvement within your data governance strategy.

  • Identify the regulations and standards applicable to your organization.

  • Evaluate how your organization interacts with data.

  • Outline key data usage scenarios at a high level.

  • Evaluate the current state of your policy framework.

  • Review the existing governance-related documentation.

  • Examine the current state of governance within your organizational structure.

  • Rate the level of maturity of your governance practices.

Inventory your assets

Now download our platform and data source inventories. These tools are built to give you a clear picture of your data landscape and simplify the governance process.

These will help us to build a clear map of your organization's data assets, including where data comes from, how it's stored, and how it's used, giving you a comprehensive view of your data ecosystem. These tools are essential for better planning, risk management, and efficiency in your data governance efforts. By using them, you'll be able to strengthen your data governance and help your organization perform better.

Focus On Data Quality

One of the key goals of governance is to improve data quality; increasing its value to the business & enabling better decisions. This document takes you through the 4 step process to measuring, monitoring and improving data quality.

  1. Profile your data, to better understand it

  2. Define your data quality rules

  3. Measure and monitor against those rules

  4. Fix errors with your data

The technical implementation will be different, depending on your environment but the four phases should remain the same.

Make Cultural Change

Next, we need to talk about cultural change. This is paramount to effective data governance because it establishes the mindset and behaviors necessary for data management practices to succeed.

Without a cultural shift towards valuing data integrity, security, and compliance, efforts to implement governance frameworks and policies are likely to face resistance or be ineffectively enforced.

This document gives you a few tasks to complete in order to effect cultural change. It’s intentionally at a high level as every organization is different & there is no one-size-fits-all.

Measure your impact

Measuring the effectiveness of data governance is essential, but identifying the right metrics can be complex. Merely relying on a governance score falls short of driving meaningful business outcomes. We must delve deeper to grasp the full spectrum of its impact.


This document outlines a large number of metrics that you may choose to use to measure the effectiveness of your governance efforts.