Governance That Enables — Not a Committee That Blocks
Data governance consulting that pairs policy with plumbing: ownership, glossaries, lineage, and quality scorecards wired into the platforms your teams already use — Informatica Axon/CLAIRE, Collibra, Unity Catalog, Purview.
Why Data Governance Programs Stall
Governance programs fail in two directions: paper tigers that produce policy binders nobody reads, or tooling projects that catalog everything and change nothing. Meanwhile the real costs compound — audit findings, AI models trained on data nobody can trace, and a compliance posture that depends on tribal knowledge walking out the door.
The Apptad Approach to Data Governance
We build governance as a product your data teams actually use: business-owned definitions, automated lineage, policy enforcement at the platform level, and quality scorecards that make trust measurable. Regulatory readiness (GDPR, CCPA, HIPAA, SOX) falls out of the operating model instead of being bolted on before each audit.
Ownership before tooling
Domains, stewards, and decision rights defined first — the catalog then documents a real operating model instead of simulating one.
Lineage and glossary, automated
Informatica CLAIRE / Axon, Collibra, Unity Catalog, or Purview harvesting lineage automatically — manual lineage documentation is obsolete on arrival.
Quality as a scorecard, not an opinion
Rule libraries and domain scorecards that trend over time. One insurance client lifted its enterprise data-quality score 40 points in two quarters.
AI governance built in
Model-input traceability and usage policies that keep your AI program auditable — increasingly the reason governance gets funded at all.
Data Governance in Production
Global Manufacturer Replatforms 1,800 PowerCenter Mappings to IDMC in 12 Weeks
Automated conversion with parallel-run validation moved two decades of PowerCenter integration to Informatica IDMC — zero data-quality regression, on-prem estate retired.
Read the case study
Global CPG Harmonizes 4M+ Customer Records on Reltio Across 14 Markets
Replaced a fragmented on-prem MDM estate with cloud-native Reltio, bi-directionally synced to SAP MDG — golden records now power order-to-cash in every market.
Read the case studyData Governance, Answered Straight
Where should a governance program start?
With the two or three domains where bad data is costing real money — usually customer, product, or the domain feeding your regulatory reports. Prove the operating model there, then scale. Starting with an enterprise-wide catalog rollout is how programs stall.
Collibra or Informatica Axon — which catalog?
If your integration and quality stack is Informatica, Axon + CLAIRE gives you lineage with the least glue. Collibra remains the strongest business-user experience and fits heterogeneous stacks. We implement both; the deciding factors are your existing platform gravity and who the primary catalog users are.
How does governance connect to our AI program?
Directly: AI governance is data governance with model-specific controls added. If you can't trace what trained a model, you can't defend its output. We wire model-input lineage and usage policy into the same catalog and scorecard infrastructure — one governance surface, not two.
Part of our Data Management practice.
Apptad ran our IDMC rollout end-to-end. They came in with playbooks for our domains — provider, payer, patient — and a stewardship operating model that fit our org. Six months ahead of schedule, and the data domains have stayed clean two years in.
Have a Data Governance Question? Ask the People Who Ship It
Our Data Management practice is led hands-on. Connect on LinkedIn or send a note through the form — a practitioner (not a sales rep) replies within one business day.
