STUDIO / DATA TRANSFORMATION OFFICE
Bring us your hardest data problem.
We’ve worked through fragmented systems, fragile pipelines and reports nobody trusts. We connect business priorities with the engineering needed to fix the problem, from source to everyday use.
Start with a Data Health Check ↗See how we work ↓Nationwide data engineering. Built and delivered. ↗
Where DTO makes the difference
Business needs. Technical realities. One working system.
The gap is rarely just technical. We bring the business, data and IT teams together, then carry the work through the gaps between them.
What the business needs
- Decisions and business value
- Definitions everyone agrees on
- Data ready when work happens
What the system needs
- Sources and pipelines
- Quality, access and lineage
- Platforms and accountable owners
One flow. Ready for real work.
Shared definitions. Reliable data. Clear ownership.
DATA HEALTH CHECK
First, find what’s actually wrong.
Follow one important business need from the report back to its sources. Leave with a shared diagnosis and a practical plan.
What the engagement looks like
Hear the business
Agree the decision, report or workflow that needs to work.
Trace the data
Connect sources, transformations and the people responsible.
Test the weak points
Check the definitions, quality and dependencies that matter.
What you receive
A map of your data landscape
Sources, pipelines, reports and owners, connected.
Prioritised findings
What is broken, why it matters and who can fix it.
A practical first-wave plan
The first work to tackle, with dependencies and owners.
Agreed checks for success
How the business will know the fix works.
Two reports. Two meanings of “active customer”.
Agree one definition. Name an owner. Test both reports.
From diagnosis to delivery
Fix the path. Make the data work.
Data Health Check
Find the causes, the gaps between teams and the first priorities.
Wave Zero
Prove one complete data path, from source to business use.
Transformation Wave
Repair, rebuild or migrate the next set of pipelines and data products.
Evidence & acceptance
The business has to be able to use it.
Agree tests for freshness, completeness and reconciliation, record business acceptance, and make monitoring, rollback and ownership clear.
A useful first conversation
Scope a Data Health Check
Bring the situation, the accountable owner and the decision you need to make. We agree what is worth changing before proposing the work.