***
Skip to content

Data Flow & Lineage Mapping

Compliance, Controls & Audit Evidence Data Protection Digital Twin of Technology and Data Landscape Data Flow & Lineage Mapping Dependency & Relationship Mapping Security & Compliance Posture Visibility Technology Estate Inventory
Compliance, Controls & Audit Evidence Data Protection Digital Twin of Technology and Data Landscape Data Flow & Lineage Mapping Dependency & Relationship Mapping Security & Compliance Posture Visibility Technology Estate Inventory
New to this diagram? Learn about the method: Use Case Tree · Use Case · Outcome

Understand how data moves and transforms across the organization so the business can manage exposure, respond to incidents, and meet regulatory and customer obligations with confidence.

Knowing where data originates, where it moves, and how it is transformed is essential for both business control and risk management.

Outcomes

  • Faster breach and incident impact assessment (what data was exposed)
  • Stronger compliance reporting and defensibility (scope and lineage)
  • Better prioritization of protective controls for sensitive flows
  • Reduced operational overhead in answering “where is this data used?” questions

Typical scope

  • Data sources, transformations, and destinations (systems and processes)
  • Sensitive data handling requirements linked to flows
  • Evidence for audits and regulatory reporting
  • Change impact analysis for data pipeline modifications

GenAI-enabled execution

Agents can help answer lineage questions, draft impact statements, and compile evidence for audits—guardrailed by authoritative lineage sources, privacy constraints, and human approval for external reporting.