Data you can trace back to the source.
We set up governance that fits how your teams work, curate your data so it stays clean, and record lineage so any number can be followed back to the record it came from.
When two reports show two different numbers, people stop trusting both.
Poor data quality slows decisions, creates rework and makes AI unreliable.
What we offer.
Data governance frameworks
Ownership, access, stewardship and shared definitions
Data curation and quality
Profiling, cleansing, testing and continuous monitoring
Lineage back to the source
Every field recorded from source record to report, so anyone can check a figure
Data protection and privacy
GDPR compliance, access control and secure handling of sensitive data
EU AI Act readiness
Documentation, lineage and controls for AI systems
What changes.
- Clear ownership of every dataset
- Any figure traceable to its source record
- Reduced regulatory and reputational risk
- A governed foundation for AI
We agree ownership and definitions, set the quality rules, record lineage as data moves, and monitor it continuously.
- Microsoft Purview
- Unity Catalog (Databricks)
- Google Dataplex
- AWS Glue Data Quality
- dbt tests
- Great Expectations
Before you ask.
What does data governance cover?
Who owns each dataset, who can see it, what the key terms mean, and how quality is measured. We set this up so it fits how your teams already work, not as a policy document nobody reads.
Can you set up governance without a full platform build?
Yes. Many clients start here. We work with the tools you already have, such as Microsoft Purview, Unity Catalog in Databricks or Google Dataplex.
What is data lineage, in plain terms?
It's the ability to point at any number on a dashboard and follow it back, step by step, to the source record it came from. If a figure looks wrong, you can see exactly where it changed.
Do you offer lineage tracing back to the source?
Yes. Every pipeline we build records where each field came from and what happened to it on the way. Auditors, finance and your own analysts can check any figure without asking us.
How do you stop bad data reaching reports?
We check data where it lands, not after someone spots a wrong total. Records that fail a rule are held back and flagged, and the report shows what was excluded and why.
The rest of the journey.
Let's look at your data together.
Book a free 30-minute discovery call with one of our founders. Tell us what you're trying to build, and we'll show you where your data and AI can go further.
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