One answer to a business question
Definitions are agreed before the dashboard makes them look official.
Data and analytics
Your data, turned into decisions.
When your pipelines and reporting are clear, you can truly trust the numbers to back up your thinking. We start with the decision, then work to bring forward the accurate data you need to make it.
Work backwards from the decision
A dashboard is the last thing we build.
Three reports, three answers, and a leadership meeting that turns from a forecasting session into a data audit. So the leadership team goes back to the spreadsheet one of them maintains personally, and the platform holding all the data gets used for none of the deciding.
First we find out which decisions your business actually relies on, and how often. Then we work backwards to the data. The measure of success isn't the report. It's whether the argument about the number stops.
Decision
What needs to be decided, by whom and how often?
Measure
What would have to be true for someone to act?
Definition
What does the number mean, and who owns it?
Source
Which record wins, and how does it stay current?
What changes
Growth starts with numbers everyone can trust.
Reporting people can act on
Every view is designed around a decision, an owner and a useful next step.
Pipelines without the manual export
Data arrives on time, in the right shape, without somebody reconciling it by hand.
A foundation AI can safely inherit
We establish governed, permissioned context before a model is asked to act on it.
What our data and analytics approach covers
It depends what you can't answer.
Work out what the business needs to know, which system should answer it and what has to change first.
Move data from the systems that hold it on a schedule, so nobody exports it by hand.
Agree what each number means and who owns it, before it turns up on a dashboard.
Build the report around the decision it serves, the person who makes it and what they do next.
Look past what happened to what's likely to happen, when the data is good enough to ask.
Watch for gaps, duplicates and drift, and catch them before they reach a report.
Is this the right conversation?
Worth a conversation if
- Two reports answer the same question differently.
- Leadership relies on one person to manually compile the numbers.
- You're about to point AI at data nobody has ever trusted.
Probably not if
- The data never arrives from the other system in the first place.Integration
- Nobody has agreed what the business is trying to measure.Strategy
- You want a new reporting tool bought and installed because of shiny graphs and charts.
Not sure? Let's chat anyway.
“It was vital for us to have transparency over performance individually and by team. Salesforce provides that visibility and lets us manage more effectively.”
Thomas BulmerCEO, Learning Online
15,000+students across 11 brands
Read the story Where data goes next
For AI to be useful, your data needs to be.
Bring the number nobody quite believes.
We'll trace it back to the decision, definition and record underneath.