International Journal of Science, Engineering and TechnologyAuthors: Srinivasa Rao Seetala
Abstract: Increasing regulatory expectations and the rapid expansion of enterprise data environments have created significant challenges for organizations seeking to maintain transparency, accountability, and governance over complex data flows. In large scale digital ecosystems, data often moves across multiple platforms, transformation processes, and analytical systems, making it difficult to trace the origin, movement, and usage of information throughout its lifecycle. Limited visibility into these data pathways can hinder regulatory reporting, compromise audit readiness, and weaken governance practices. The objective of this study is to develop an enterprise scale data lineage and traceability framework that strengthens regulatory compliance while improving data accountability and governance across interconnected data systems. The research adopts a mixed methodological approach that combines qualitative examination of enterprise data management practices with conceptual framework development informed by practical observations from complex information environments. The proposed framework integrates structured metadata management, lineage mapping mechanisms, governance controls, and traceability models to provide comprehensive oversight of data movement and transformation activities. The findings demonstrate that implementing systematic lineage and traceability capabilities significantly improves regulatory transparency, strengthens audit capabilities, and reduces compliance risks associated with fragmented data architectures. The study contributes a strategic governance model that connects data sources, transformation processes, policy controls, and regulatory obligations within a unified traceability structure. This research offers both academic and industry value by advancing knowledge on governance driven lineage architectures and providing organizations with a practical foundation for building transparent, accountable, and compliance ready enterprise data ecosystems.
DOI: https://doi.org/10.5281/zenodo.19347723
