Unmask the 3 Levels of Holistic Data Governance Strategy

Gathering quality data is the first step towards business success. However, the growth of the same business relies on the usage of given data. The trick to any successful business nowadays is defined not by the data collected, but by the best use of data.

As important as data is to a successful business, it is not any good on its own. It is only as good as its usage, and that is governed by Data Governance.

It is not easy to decide the best use of collected data, keeping in touch with every single department of the organization, taking the needs into account, and ensuring that they are all met is confusing, and challenging.

However, organizations that cannot spare their resources on setting great data governance strategies, seek help from the experts who are behind the most successful businesses. Here are the three things that you will find common inside every single strategy.

A data governance strategy is like the foundation of the process that allows a company to base its operations on.  Understanding the strategy truly allows the organization and the individuals to carry the business towards a successful outcome.

Data governance strategies are unique to every business model. Like every new idea for a business is unique, the strategy to make it work is unique too.  However, these 3 strategies are the common denominator everywhere.


Taking into account the different departments of an organization and their needs, building a framework that accommodates the growth of every individual department, and building a framework that syncs up each department with the other while making use of the data that is collected is the goal.

Bring in the framework that supports a greater ROI. Changes will be common, the change in the collected data will change too. The framework should allow changes in the collection of data and the steps that will be taken.

Understanding the efforts that will be put in extracting the best out collected data and how individual teams are to meet their set goals is what building a framework is all about.

After the framework, comes the planning.


Setting expectations and requirements is tough, sure but drawing a route map of execution is rough too. Knowing what we want from a company from the beginning and understanding where to take it in the next time frame is the agenda of data governance strategy.

Drawing up a route map is however a step towards achieving the said ROI. A process on how each individual in the organization and each team will lead the company towards the desired goal of success.

Fixing how the individual teams will work and the operations being carried out every day, and on a bigger annual basis is what efficient planning looks like. Keeping in mind that there will be some unexpected circumstances and preparing the company as a whole for them includes the best use of resources.

This also means drawing up an execution strategy that supports the data growth and methods to imbibe the best data usage policies keeping in mind to adhere to the requirements of the organization.


Building a strategy that is easy to execute is one of the most important aspects that help in adhering to it. Knowing that a strategy will be possible and is in fact a scalable target will help in adhering to it.

Keeping in mind that data governance strategies are the center of a company’s operations, it is important to notice that it is also just a plan that is a well thought out idea for a company’s growth.

These are the three levels of data governance strategies that decide the growth of a company. Now, there are many different approaches to understanding each of these levels and attempting to personalize the strategies at each level to suit the business model, but the intention of each level is to meet the company growth targets in the swiftest, most economical and efficient way possible.