The EU General Data Protection Regulation (GDPR) is a comprehensive data privacy law that governs how organizations collect, use, and protect personal data of individuals within the European Union.
Data lineage provides a detailed view of how data flows through an organization—from its source and transformations to its final destination. It helps document how data is collected, processed, stored, and shared across databases, applications, and systems.
Maintaining data lineage is essential for understanding dependencies, supporting data governance programs, and ensuring regulatory compliance under laws like the GDPR, CCPA, and EU AI Act. By offering visibility into data movement and usage, lineage allows organizations to verify data accuracy, improve quality, and demonstrate accountability.
Data lineage enhances trust, consistency, and transparency in enterprise data ecosystems. It enables organizations to trace how information is used and transformed, ensuring accuracy in reporting, analytics, and decision-making.
Regulatory frameworks such as the GDPR, DORA, and ISO 27001 require organizations to maintain traceability and auditability of data processing. Data lineage supports these requirements by showing complete data flow histories and ownership.
It also plays a key role in risk management by identifying potential bottlenecks, data duplication, or unauthorized access points across the data lifecycle.
OneTrust helps organizations automate data mapping across systems and business processes by providing visibility into how data flows, relationships, and dependencies are represented across the organization.
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Data lineage focuses on tracing data movement and transformation across systems, while data mapping shows relationships and data flows between entities for compliance and integration purposes.
Data governance, IT, and analytics teams collaborate to document and maintain lineage. Data stewards typically oversee accuracy, completeness, and alignment with compliance requirements.
Under the GDPR, organizations must maintain accurate records of processing activities. Data lineage provides traceability, helping demonstrate accountability and transparency in data processing.