by Angela Guess
Jay Zaidi recently shared his insight into common challenges facing Data Governance problems and the best practices to overcome them. He writes, “Traditionally, data has been owned, managed and governed in departmental silos. But enterprise-level data governance requires a holistic, cross-siloed approach to data management. Therefore, managing data under such circumstances is highly political and presents interesting challenges. Close coordination and collaboration between business, operations and technology teams is required to ensure that the definitional, operational and compliance-related aspects of data governance are achieved to enable business success.”
He continues, “The Data Governance team faces many challenges and roadblocks as it deploys the program across an enterprise or tries to sustain it post deployment. Some of the key ones are: political impediments; aversion to change; lack of accountability; wavering organizational priorities; immature issue and risk management capability; communication challenges; dearth of skilled DG resources; lack of awareness and education about data governance; and inability to communicate tangible business value.”
