Summary
This document is a guide on the Data Governance Assessment process, which aims to enhance data management practices within organizations. It outlines the significance of effective data governance in driving efficiency and enabling informed decision-making while highlighting the risks associated with poor data management. The guide details common challenges faced during data transformation initiatives, such as issues with legacy data quality, unclear data strategies, and misalignment between business and IT teams. It emphasizes the importance of data migration, which involves extracting, cleansing, mapping, transforming, and validating data to prevent loss or corruption. The assessment evaluates data readiness across six core risk domains, including lifecycle management, data integration, security and compliance, testing and validation, and data lineage. By addressing these areas, organizations can mitigate risks, ensure compliance, and optimize their data as a strategic asset for future success.
