Data Lineage

Data lineage is the documented path data takes from its original source to every place it is consumed — through ingestion jobs, transformation pipelines, intermediate tables, dashboards, reports, APIs, and machine learning models. A complete lineage graph answers two questions instantly: where did this number come from, and what depends on this table?

Modern platforms build lineage automatically by parsing SQL, pipeline code, and BI metadata, keeping the graph current as systems change — something manual spreadsheets can never sustain.

For a Saudi Data Management Office, lineage is foundational evidence. The NDMO framework expects entities to understand and document their data flows, and lineage provides that documentation as a living artifact rather than a stale diagram. Under PDPL, fully enforced since September 2024 with SDAIA as the enforcement authority, organizations must account for where personal data travels — including any transfer outside the Kingdom — and lineage shows exactly which systems and reports touch personal data fields. Operationally, lineage cuts incident resolution time by exposing root causes upstream, and it makes change management safe by revealing every downstream consumer before a schema is altered. Without lineage, governance rests on tribal memory; with it, the DMO can prove control.