Data Quality Frameworks

Data Quality Frameworks are structured guidelines that organizations use to ensure their data is accurate, complete, consistent, and reliable. They provide a set of standards and processes to assess and improve data, much like quality checks in manufacturing. By applying these frameworks, organizations can make better decisions, reduce errors, and ensure their data serves its intended purpose effectively. Essentially, they help maintain high standards for data, so it can be trusted and used confidently across various business activities.