PDPA, BOT data-quality notifications, SET disclosure rules, and the EU AI Act's data-quality clauses all ask overlapping questions: where did this data come from, who is allowed to see it, and can you prove it didn't drift? You answer with a governed catalog and verifiable lineage — not a haphazard collection of spreadsheets.
Business users find data they can trust because every asset has a steward, a definition, and a quality score visible in one catalog.
Column-level lineage from source system to BI dashboard to model feature, so impact analysis takes minutes — not weeks of tribal knowledge.
PII auto-discovery, classification, and access policies enforced where the data lives — not by sending PDFs to legal once a quarter.
As an IBM partner, we resell, deploy, and operate the full IBM data governance lineup. We map each product to a governance outcome — not a license SKU.
Catalog · Glossary · Policies
The self-service discovery layer for your governed data, including:
Analysts find what they need and understand it before they use it.
Unified Data Platform
The container-native platform that runs Knowledge Catalog, DataStage, Db2, and the rest of the data-fabric services. One control plane covers all major deployment options:
Governance follows the data, not the deployment.
Automated Column-Level Lineage
Builds column-level lineage automatically by scanning:
Turns “if I change this source column, what dashboards and models break?” from a war-room exercise into a click.
Profiling · Rules · Monitoring
Three operational disciplines on every dataset in the catalog:
Every dataset comes with a Quality Score so analysts and AI agents know its quality before using it.
Entity Resolution · Customer 360
The customer in your CRM, billing, and loan system — are they the same person? Match 360 answers with:
The foundation for Customer 360, KYC, and Fraud Prevention programs.
From first catalog scan to a fully operating governance practice — paced to your readiness.
So you can see where you stand on real data.
Deliverable: report + roadmap + live catalog scan
So the platform keeps running after go-live.
Deliverable: live catalog + lineage + trained stewards
Golden records flow back into your operational systems.
Deliverable: rule library + monitoring + golden records
Monthly subscription · Deliverable: governance health report + steward clinics
Knowledge Stack is descriptive and diagnostic — answering “what is” and “why.” Both questions only have trustworthy answers when the data underneath is cataloged, classified, and lineage-traceable. That's what IBM Data Governance produces.
Glossary terms become canonical entities. Cataloged documents become governed RAG sources. Column-level lineage becomes provenance attached to every retrieved answer. Knowledge Stack stops being a guess.
Quality-scored datasets become the only allowed feature sources; lineage proves model inputs to auditors.
Agents inherit access controls from the data layer instead of trying to enforce policy in prompts.
There is no universal best data-governance platform — but for regulated industries, IBM is among the leading choices. In banking, healthcare, and telco, audit-grade lineage, mature stewardship workflows, and on-prem deployment with cloud-pack portability are non-negotiable, and IBM delivers all three.
