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Data Governance and Lineage

AI on bad data is automation of error.

We structure data governance with origin, quality, lineage and access, aligned with DAMA-DMBOK and LGPD. Every indicator used in decision and every data feeding an AI agent has known provenance traceable to source. Fourth pillar: model governance (AI lineage) to cover EU AI Act and ISO 42001.

The antagonist

Without data governance, every report tells a different story.

RAG systems in production hallucinate in 17 to 33% of queries even with correct data in the base (Stanford 2025). 95% of Brazilian companies plan to adopt agentic AI within 2 years without defined governance (IBM 2026). Without traceable lineage, an agent decides on fragments and error becomes the rule.

The four pillars of applied governance

  • Quality at Source Quality rules, deduplication, validation, and enrichment applied at the data entry point. Whoever creates the data is responsible for its quality, with observability to detect drift and schema change before they affect decisions.
  • Traceable Lineage End-to-end data lineage: origin, transformations, calculations, and final consumer mapped. Audit knows why a number exists and what changed if it becomes a different number tomorrow. Enables LGPD compliance and AI audit.
  • Catalog and Glossary Active data catalog with business glossary: what each metric means, who owns it, what SLA. Instead of a static portal nobody uses, metadata injects bidirectional context into tools (dbt, Snowflake, Databricks).

Model Governance (AI Lineage)

  • Registry of models, datasets, licenses, and versions via AI Bill of Materials (AIBOM). Every AI decision has identified model, traceable dataset, and applied policy. Covers EU AI Act, ISO 42001, and NIST AI RMF requirements.
  • Immediate operational outcome
  • Less debate over which number is right, more decision on what to do with it.

The Bunker promise

Data at source, traceable model, auditable decision.

We install data governance and model governance as single infrastructure. Quality, lineage, catalog, and AI lineage operate within the same Bunker Protocol, aligned with DAMA-DMBOK, LGPD, ISO 42001, and EU AI Act.

Data governance precedes any analytical ambition and any AI agent.

Executive Conversation

Map current lineage and governance gaps

In 4 to 6 weeks, you leave with critical sources lineage map, identified quality gaps, catalog plan, and roadmap for AI lineage covering EU AI Act and ISO 42001.

How data governance and traceable lineage become the foundation of reliable AI

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See also: Analytical Modeling and Segmentation | Predictive Intelligence and Forecasting | AI Applied to Commercial Operations