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Strategic Data Governance for Business Intelligence: Enhancing Decision Integrity and Organizational Value

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

This chapter explores the vital role of data governance in ensuring the integrity, reliability, and trustworthiness of Business Intelligence (BI) systems. It provides a conceptual review based on secondary sources, including academic journals, industry standards, policy papers, and global case studies published between 2013 and 2024. Using thematic content analysis, it synthesizes best practices and core elements of successful governance frameworks such as standardization, metadata management, role-based access, and compliance alignment. Findings reveal that robust governance improves decision accuracy, regulatory readiness, and data utilization, while mitigating silos and reinforcing trust. Leadership, cross-functional collaboration, and governance automation tools are highlighted as enablers. The chapter offers both scholarly and practical perspectives, presenting governance as a continuous strategic initiative.

Original languageEnglish
Title of host publicationArchitecting Strategic Business Transformation through Data-Driven Systems
PublisherIGI Global
Pages285-316
Number of pages32
ISBN (Electronic)9798337399300
ISBN (Print)9798337399287
DOIs
StatePublished - 1 Jan 2026

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