Authored on: Mar 12, 2014
Download Data Governance is the practice of putting standards, processes and controls around enterprise data to ensure availability, usability, integrity, and security of the data employed in an enterprise. Organizations use a variety of solutions including data quality and master data management to ensure the integrity of the non-transactional data (data in rest). Despite the criticality of the transactional data (data in motion), very little attention has been given to ensure its integrity. With the recent changes in the business and technology environment and increasing compliance requirements, the urgency of finding solutions to ensure governance of the transactional data has increased several folds. This article outlines a framework for ensuring the integrity of both transactional and non-transactional data using automated information controls and continuous monitoring. Such an approach has proven to be effective in detecting and preventing information errors resulting from source system changes, process failure, and corruption in reference data and data quality issues in the source systems.