Top 6 Data Governance Principles

April 27, 2022

A well-design data governance program provides the right ownership and accountability model to get to the root cause and resolution of data issues.

John Owen

Data is everywhere around us and it has become the companies’ most important resource. It helps them get valuable insights into their clients’ behavior, measure their current performance, and foresee what the future may hold for them. Thus, organizations invest heavily in various systems and tools that help them unleash the power hidden in their data. They try to build the perfect data warehouse to store their data and choose the best Business Intelligence tool to analyze it.

However, for companies to use their data effectively, they need to ensure both data quality and security, and the key to doing that is data governance.

Data governance establishes the processes, rules, and responsibilities that ensure the quality and security of the data used across all business units and allows businesses to exert control over the management of data assets.

Unlike data management, which is mostly viewed as an administrative process involving acquiring, validating, storing, protecting, and processing required data, data governance is a strategic process. It goes beyond IT and includes stakeholders from across the organization to ensure the safety, reliability, and accuracy of all data. Therefore, to help you build a successful data governance strategy, we are going to walk you through the top six principles of data governance you need to follow.