Effective data governance should ensure high quality of data. Primarily, data governance is the process of managing the usability, integrity, availability and security of data in the enterprise systems. Moreover, it relies on the internal data standards and the policies that control data usage. Additionally, it ensures that data is consistent and trustworthy. It prevents the misuse of data. Organizations require data governance as they continue to face new data privacy regulations. Fundamentally, data governance programs includes a steering committee, a governance team, and a group of data stewards. They all work together to create the standards and policies for governing data.
THE BENEFITS OF EFFECTIVE DATA GOVERNANCE
It provides a consistent and common understanding of data while individual business units retain appropriate flexibility. Moreover, it provides the ability to understand the location of all data that relate to key entities. Additionally, data governance provides a platform to meet data privacy regulations and other government demands. It establishes codes of conduct and best practices in data management. Furthermore, effective data governance creates a plan that ensures the accuracy, completeness, consistency, and quality of data.
WAYS OF IMPROVING THE QUALITY OF DATA
Fundamentally, it is crucial to establish how improving the quality of data impacts business decisions. Therefore, an organization should prepare a list of data quality issues that it is facing and how they impact its revenue. Moreover, it is important to define the standards of data. Good quality data should meet the data privacy regulations. An organization should then establish data quality standards across all business units within it. Consequently, this promotes effective data governance by helping people to understand and execute their business operations following the standards. Additionally, organizations also need to use data quality profiling to determine the corrective actions that they should take.