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Data Governance Implementation – Critical Success Factors

Summary: [This abstract is based on the authors' abstract.] Data are a principal strategic enterprise asset. Like any other asset, data must be managed over the entire data life cycle, from initial capture to storage, processing, access, use, retention, and destruction. Data governance is a data management function that involves processes, policies, standards, accountabilities, and framework to ensure proper use and protection of data and effectively manage the data assets in an organization. This article focuses on understanding the critical success factors (CSFs) driving the implementation of data governance in organizations and presents the results of the survey conducted in different organizations. In total, 14 CSFs with 48 variables were identified from the literature and discussions with information management professionals. Survey results revealed that leadership and management commitment, practical and enforceable data governance policy, and incremental approach to data governance are the most important factors. Use of data governance tools is the least important factor in the successful implementation of data governance.

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  • Topics: Data Quality
  • Keywords: Data, Management, Surveys, Leadership, Policies
  • Author: Mahanti; Rupa
  • Journal: Software Quality Professional Magazine