Specialized
Data governance built on automated discovery, not manual documentation
Data catalogues, lineage programs, retention policy, and privacy compliance — built on top of each other, not maintained separately.
Automated
Data discovery across all sources
Column-level
Lineage granularity
On demand
Privacy audit evidence generation
8+
Privacy regulations supported
Governance capabilities
A complete data governance program, not a point solution
Data catalogue and discovery
A catalogued data estate is the foundation of every downstream governance, privacy, and AI program. We deploy automated discovery tooling that finds data assets across your databases, warehouses, lakes, and SaaS platforms — and builds a searchable catalogue that documents what data exists, what it means, who owns it, and where it goes.
Automated discovery · Business glossary · Data ownership assignment
Data lineage
Column-level lineage tracing the movement and transformation of data from source system to end consumer. Required for AI governance (EU AI Act, NIST AI RMF), financial reporting (BCBS 239), and most enterprise data quality programs. Lineage is automated — not maintained by hand in a wiki.
Column-level lineage · Transformation tracking · Impact analysis
Data classification and tagging
A consistent classification scheme applied to your data estate — PII, PHI, financial data, confidential, public. Classification drives access control policy, retention schedules, and privacy obligations. We build the classification framework and deploy automated tagging tooling so classification stays current.
PII/PHI detection · Automated tagging · Classification-driven access policy
Retention and deletion programs
Data retention schedules that satisfy your legal hold requirements, regulatory minimum retention periods, and privacy law deletion obligations — in the same program, not three separate ones. Automated deletion jobs that run on schedule and produce evidence of execution for audit purposes.
Legal hold management · Automated deletion · Retention evidence for audits
Privacy compliance (GDPR, PIPEDA, CCPA)
Privacy programs built on top of the data catalogue — not separate from it. Data processing inventories, Data Protection Impact Assessments, consent management review, and breach notification readiness. We build programs that satisfy multiple privacy laws simultaneously where data crosses jurisdictions.
GDPR · PIPEDA · CCPA · Privacy-by-design review
Data ownership and stewardship model
Data governance without ownership is documentation that no one maintains. We establish a practical ownership model — data owners, data stewards, and a data governance committee — with defined responsibilities and a governance operating rhythm that produces outcomes rather than meetings.
Ownership model · Stewardship program · Governance operating cadence
Regulatory mapping
What the regulations actually require from your data program
| Regulation | What it means |
|---|---|
| GDPR | Documented inventory of all data processing activities |
| GDPR | Impact assessments for high-risk processing activities |
| PIPEDA | Designated privacy officer and documented policies |
| CCPA | Right to know — documented data inventory by category and purpose |
| BCBS 239 | Complete data lineage for risk data used in regulatory reporting |
| EU AI Act | Data lineage and quality documentation for AI training data |
| HIPAA | Documented methodology for PHI de-identification |
| SOX ITGC | Evidence that financial data is complete, accurate, and unaltered |
How we work
From undocumented data estate to governed and auditable
Discover
Week 1–3
Automated data discovery across your environment. We deploy scanning tooling against your databases, warehouses, data lakes, and major SaaS platforms. The output is a raw data inventory — every data asset found, with schema documentation and an initial sensitivity classification.
Raw data inventory + initial sensitivity classification
Catalogue
Week 3–7
The raw inventory is enriched with business context — what the data means, who owns it, what it's used for, and what regulatory obligations apply to it. A business glossary is built. Data ownership is assigned. The catalogue becomes the authoritative reference for your data estate.
Populated data catalogue + business glossary + ownership register
Govern
Week 6–12
Governance policies are implemented — retention schedules, access control policies derived from classification, and deletion procedures. Data lineage is instrumented for the datasets identified as high-priority. Privacy compliance documentation is produced from the catalogue.
Retention schedules + access policies + privacy compliance documentation
Automate
Week 10–16
Governance processes that run manually become automated. Deletion jobs are scheduled. New data assets trigger classification workflows. Lineage is captured automatically by the data pipeline tooling. The governance program requires human judgment for exceptions — not for routine operations.
Automated governance pipelines + exception management process
Operate
Ongoing
Data governance is not a project — it's a program. We help establish the governance operating cadence: monthly data quality reviews, quarterly catalogue updates, annual retention schedule reviews, and ongoing exception management. Evidence packages for regulatory audits are generated on demand.
Governance operating cadence + on-demand audit evidence packages
Use Cases
Data governance for regulated environments
Financial Services
BCBS 239 data lineage for a tier-1 bank
The Situation
A bank's risk data aggregation program is failing BCBS 239 reviews because it cannot demonstrate complete lineage for the data used in regulatory capital reports. The data passes through 14 transformation steps between source systems and the regulatory report — none of them documented in a way the regulator accepts.
Our Approach
We deploy automated lineage capture at the data pipeline level — every transformation is recorded as part of normal pipeline execution, not as a separate documentation exercise. The 14-step transformation chain becomes visible and auditable. The BCBS 239 lineage requirement is satisfied without adding manual documentation overhead to the data engineering team.
Healthcare
Cross-jurisdiction privacy compliance for a health data platform
The Situation
A health data company processes patient data under HIPAA in the US, PIPEDA in Canada, and GDPR in Europe. Three separate compliance programs are maintained by three teams with minimal coordination. When a patient requests deletion under GDPR, no one is certain whether the deletion also satisfies HIPAA and PIPEDA obligations — or conflicts with legal hold requirements.
Our Approach
We build a unified data catalogue that spans all three jurisdictions. Every data asset has documented regulatory obligations by jurisdiction, retention requirements, and legal hold status. The deletion request workflow checks all three before executing. Compliance teams in each jurisdiction work from the same authoritative source, with jurisdiction-specific views of the obligations.
Is this right for you?
This is a good fit if you…
- You have no clear picture of what data you hold, where it lives, or who has access to it
- You've had a data breach or a near-miss that revealed you didn't know where sensitive data was stored
- You need to demonstrate data governance to meet GDPR, PIPEDA, HIPAA, or similar obligations
- A regulator or board is asking about your data governance program and you don't have a credible answer
- You're about to merge with or acquire another organization and need to understand their data estate
You might want to start elsewhere if…
- You need a basic privacy policy document — that's a legal task, not a governance program
- You need a full data platform built — that's the Data & Analytics service
Common questions
Questions people ask before getting started
Plain answers. No jargon. If something isn't covered here, just ask us directly.
Do you know what data you have and where it goes?
Most enterprises don't. A data discovery assessment will answer that question — and tell you which regulatory obligations you're not currently meeting.