TY - JOUR T1 - Data Governance for Businesses: Challenges, Recommendations, and Critical Success Factors AU - Ateş, Vildan AU - Garip, Atacan PY - 2025 DA - June Y2 - 2025 DO - 10.26650/acin.1540759 JF - Acta Infologica JO - ACIN PB - Istanbul University WT - DergiPark SN - 2602-3563 SP - 339 EP - 358 VL - 9 IS - 1 LA - en AB - Data governance is the set of roles, processes, policies, and tools that ensure data quality throughout its lifecycle and appropriate usage across an organization. Data governance (DG) empowers users to locate, prepare, utilize, and disseminate dependable datasets independently. This study aims to reveal the challenges that businesses may encounter in the data governance process, propose recommendations, and highlight the critical success factors (CSFs) for data governance. The study's method is qualitative research. Interviews were conducted with 12 experienced volunteer participants in data governance. The data collected from the interviews were analyzed using descriptive and content analysis. The study revealed that the main challenges encountered were a lack of understanding of the impact of the data governance process on other business processes, the complexity of the process, and the role of the process manager. The study revealed that these challenges can be mitigated with effective communication, a clear demonstration of the contribution of the data governance process to the business, and leadership support. Furthermore, the study identified 20 critical success factors for DG success. These CSFs are classified into four categories: organization, people, data and technology, and regulations. As a result of the study, suggestions for businesses, managers, and individuals regarding data governance are presented. 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