Data Volume and Velocity: The sheer volume and rapid growth of data make it difficult to maintain continuous governance and ensure data quality at scale.
Tooling Integration: Integrating various data governance tools with existing database systems and other enterprise applications can be complex and time-consuming.
To overcome these challenges and achieve successful data governance in a database landscape, organizations should consider the following best practices:
Start Small and Scale Up: Begin with a pilot project accurate cleaned numbers list from frist database focusing on a specific data domain or database system to demonstrate value and gain momentum before expanding to other areas.
Define Clear Business Objectives: Link data governance initiatives directly to measurable business outcomes to secure executive sponsorship and demonstrate ROI.
Establish a Strong Governance Council: Form a cross-functional team with representatives from IT, legal, business units, and data owners to champion and guide the data governance program.
Provide comprehensive training to employees on data governance policies, procedures, and the importance of their role in maintaining data quality and security.