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| Format: | Recurso digital |
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Zenodo
2022
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| Online Access: | https://doi.org/10.5281/zenodo.15051013 |
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Table of Contents:
- <p>Data is widely recognized as an absolutely essential asset for the daily functioning of modern-day organizations, albeit the complexities behind data integrity, usage, and compliance are frequently overlooked. Data volume expansions have forced us to reevaluate every aspect of data governance, including data lineage and impact analysis, which stand as the crucial pillars for ensuring the authenticity, security, and general reliability of corporate informational resources. Despite the significance, organizations often fail to adopt robust frameworks for systematically tracking data transformations and analyzing subsequent ramifications of any modifications that might occur. This paper, which attempts to adopt a highly technical perspective, explores the fundamental aspects of data lineage, focusing on how systematic traceability of data origin points and subsequent transformations can yield more coherent and regulatory-compliant data governance. Additionally, we delve into the synergy between data lineage strategies and impact analysis, illustrating the importance of both approaches for anticipating disruptions and reinforcing organizational accountability.</p>