Role of Metadata Management and Data Governance in Achieving Regulatory Compliance in Enterprise Data Ecosystems

Abstract

As enterprise data ecosystems grow, so do the complexities of meeting regulatory mandates, data integrity, and transparency in the organization’s operations. Data management is getting more complex as organizations adopt distributed architectures, such as cloud-based and hybrid, which means it is more difficult to manage data on more than a single platform. This has led to good data governance and metadata management becoming a key part of enterprise data strategies.
This study looks at 2025 regulatory compliance in an enterprise data ecosystem and the role of metadata management and data governance in the process. Data visibility, traceability, and control requires the proper foundation of metadata, and data governance provides the right policies, standards and accountability structures to ensure compliance. Combined, they help organizations manage regulatory needs like data lineage tracking, auditability, and data quality assurance.
The paper suggests an integrated approach to align metadata management to governance principles and streamline compliance readiness and mitigate data risks. It also provides an example of how to make data more transparent, increase control and facilitate informed decisions with structured data governance practices. The results illustrate the importance of metadata and governance to establishing scalable, compliant and resilient enterprise data ecosystems.