BI & Analytics
Reporting is where people decide whether they trust your data. We agree one clear definition for every important number, then build your reports on top of it, so the same question always gets the same answer.
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Two people asking the same question should never get two different numbers.
What we put in place
One agreed definition per number
Revenue, active customer, churn: each defined once, in one place, and used by every report. This is the foundation everything else on this page rests on.
A set of tables people can trust
A small, clearly marked group of tables that carry a guarantee, kept separate from the working data anyone can experiment with.
Definitions kept in version control
So when a number changes, you can see who changed it, when and why, rather than finding out during a meeting.
Freedom to explore, safely
People get a personal space to build whatever they like, and a shared space where the rules apply. Trying to govern both equally is why most attempts fail.
Knowing what is actually used
When there are three revenue tables and nobody knows which is the real one, usage data answers it immediately. Nobody has to maintain it.
Bringing your analysts with us
Hands-on sessions with your team, focused on the specifics of your data rather than generic training slides.
Numbers that survive a board meeting
A number that is fine in a team meeting often falls apart in front of a board, not because it is wrong but because nobody prepared it for the questions that get asked in that room.
- What is excluded is stated upfront, before anyone has to ask
- When a definition changes, past figures are restated and the chart says so
- The breakdown people always ask for is prepared before the meeting, not after
One number, one meaning
Most reporting arguments are definition arguments in disguise. We settle those first, because everything else depends on it.
Common questions
Do we need to change reporting tool?
Usually not. The value sits in the definitions underneath, and those move with you. Switching tools is expensive and tends to recreate the same problems in a new interface.
How do we stop the number of metrics growing forever?
Make adding a new one mean removing an old one. That forces an honest conversation about what actually matters. A report where every single measure has a target looks rigorous and works as a set of conflicting instructions.
Who owns the definitions after you leave?
Your business teams own what a term means, because they live with the consequences. A central team owns how definitions are recorded and changed. Swapping those two around is the classic mistake.
How an engagement runs
From choosing a tool through to a working reporting layer.
Choosing the right tool
A structured evaluation against your requirements, your team and your budget. Often the answer is the tool you already own.
Requirements and data profiling
Understanding what people actually need, and what your data can actually support, before anything is designed.
Modelling and dashboard development
Building the model first and the dashboards onto it, rather than the other way round.
Power BI in particular
It is where most of our BI work happens, and where the shared model matters most because the tool spreads so easily.
Predictive modelling and machine learning
Where the reporting layer is solid enough to support it.
Rapid prototypes
A working version in front of people quickly, so the feedback arrives before the build rather than after it.
Related services
Ready to turn complexity into your next advantage?
If your last board pack ran to forty pages, the reporting tool is probably not the problem.
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