Trust your data and every decision that follows with Ortecha Trust
A simple, proven approach to find, fix and control the data that matters most, so every number, report and insight stands up.
- Turn unknown data into something you actually control
- Solve what matters most without overcomplicating it
- Embed a model your teams can own and sustain
Trust built in, not bolted on
Most organisations want to trust their data but they tell us they can’t. Definitions are fuzzy, ownership drifts, quality slips and confidence vanishes.
That’s why we built Ortecha Trust: a lightweight, people-friendly framework that makes data management clear and doable.
In five steps – Define, Locate, Trace, Measure, Control – we help you build lasting trust across your data landscape, quickly solving real problems while growing long-term capability.
It’s practical, it’s repeatable and it works.
Why does it matter?
Let’s be honest: most teams don’t fully trust their own data. And when you can’t trust data, decisions slow down, risks rise and opportunities may pass you by. We’ve seen it all: unclear definitions, patchy ownership, inconsistent quality. The result? Slow, risky, inconsistent decisions.
- Know what your data means – clear business definitions, not jargon.
- Know where your data lives – across apps, databases, and systems.
- Know how your data flows – tracing sources, transformations and outputs.
- Know your data is high quality – with rules and measurements in place.
- Know you can keep it that way – by embedding control into BAU.
The people we have from Ortecha have been superb. A great mix of theory and practical.
— Director, Global Investment Bank
What do you get?
You get a clear, repeatable way to manage the data that drives your business.
Building trust from the ground up
A client project we’re proud of.
A global insurer was losing time and confidence to manual data headaches.
This insurance group wanted to strengthen data capability in its Risk function. Rather than running abstract improvement projects, we helped them apply Ortecha Trust to tackle their high-priority data pain points. Each Value Case focused on a specific issue – from manual reporting and inconsistent sourcing.
The difference it made:
- Proved what good data can do: Automated manual finance reporting for the Strategic Risk Dashboard that cut repetitive work and reduced errors.
- Built long-term capability: Coached the team on how to use the Trust Framework themselves, so confidence grew with every case success.
- Set them up for the future: Created templates, clear standards and repeatable processes that now guide how data is managed and governed.
Why choose Ortecha?
We’re practitioners, not theorists. We helped build and shaped the frameworks hundreds of data teams around the world now follow. Plus, we know what actually works inside complex organisations.
So when we developed Ortecha Trust we wanted more than just an idea on paper. It’s how we deliver real change, built through practice, not slideshows.
Here’s what we bring to you:
- Simplicity that sticks: No jargon, no shelfware. Just clear steps everyone can follow and do easily.
- Proven impact: Quick wins that turn into long-term capability.
- Practitioner expertise: We’ve been in your shoes and know what works in reality.
- Capability uplift built in: Strengthen DCAM and CDMC maturity as you go.
- Scalable & sustainable: Metadata automation keeps Trust growing, not grinding.
Common questions
We look at it like a use case. It's a data pain-point or a question that needs an answer. Applying the framework to Value Case(s) then solves a real data problem and delivers measurable value while building internal capability, one step at at time.
It doesn't matter if you don't have a dedicated function. Ortecha Trust is built for any stage of maturity and works brilliantly as a starting point.
It's designed to be completely aligned with both of those frameworks. Running Ortecha Trust will naturally uplift your capability and maturity across several components and controls including governance, quality and operational architecture.
Each cycle is right-sized to your priorities and context, but a typical project is a number of weeks, not months. We suggest each cycle focuses on specific Value Cases, so you build capability and add value to your business straight away. And you can repeat this process again, and again.
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