ENTERPRISE DATA MANAGEMENT: DESIGN OF A CONCEPTUAL MODEL FOR EFFECTIVE DATA GOVERNANCE FRAMEWORK IN LARGE ORGANIZATIONS

Managing large volumes of data is crucial for the success of large organizations in the digital age. This research proposal aims to evaluate the impact of data governance frameworks on data quality and strategic business outcomes. We want to identify the critical factors contributing to the successful implementation of data governance and understand stakeholder perceptions of its benefits, challenges, and barriers. To achieve this, our study will employ a quantitative approach. We will collect data through surveys targeting key stakeholders such as data managers, IT professionals, and business analysts. These surveys will gather insights into the use and impact of data governance frameworks, focusing on data quality, compliance, and strategic business outcomes. By analyzing this data, we aim to uncover meaningful trends and relationships that can inform better data management practices. Our findings will provide valuable insights for large organizations, helping them enhance their data management practices, ensure regulatory compliance, and achieve better business outcomes. By addressing the challenges and leveraging new technologies, this research aims to offer practical, actionable recommendations for improving data governance in today’s complex data environment.