Services/Data/Business intelligence & analytics
Business intelligence & analytics
Analytics that start with the decisions your leadership team needs to make, such as pricing, capacity, retention or risk, not with a tool. Built on data with agreed definitions, so every measure means the same thing to everyone who sees it.
When this is the right move
You'll recognise the signs.
Every team has its own definition of the numbers
Sales counts revenue one way, finance another, and operations a third, so the same question gets three different answers depending on who you ask.
Decisions are made on gut feel, not on trend
The data exists somewhere, but nobody has turned it into a measure anyone tracks over time, so pricing, capacity and retention calls are made on instinct.
Reporting answers last month's question, not this month's
By the time a report is built, the business has moved on to a different question, and someone starts again in a spreadsheet.
Analytics that only IT can touch
Every new question means a request to a technical team and a wait in a queue, so managers stop asking and start guessing.
How we deliver it
Structured to remove risk.
Business intelligence work usually goes wrong before a single chart is built: measures get defined by whoever asks first, dashboards are built ahead of agreement on what a KPI actually means, and every new question queues up behind a technical team with other priorities. We start with the questions your leadership actually needs answered, agree definitions with the people who own them, and build self-serve exploration on top, so new questions don't need a new project.
01
Agree the questions
Workshops with your leadership team establish the decisions the business actually needs to make, such as pricing, capacity, retention or risk, and the measures that would inform them. Nothing gets built until we know what a good answer looks like.
02
Define the KPIs
Every measure gets an agreed definition, signed off by the people who own the numbers, so 'utilisation' or 'margin' means the same thing in every meeting. Disagreements surface here, on a whiteboard, rather than later in a board pack.
03
Build the models
Analytics models are built on governed data and tested against what your teams already know to be true before anyone relies on them. Where the data doesn't yet support a question, we say so rather than build around it.
04
Enable self-serve
Exploration tools go to the teams who need answers day to day, with training and guardrails so a new question doesn't need a new project. We stay close after launch to make sure the models keep pace with how the business changes.
What you get
- KPI definition with stakeholders
- Analytics models and measures
- Self-serve exploration for teams
- A single agreed version of the numbers
What changes
- One agreed set of measures in place of competing spreadsheets
- Trends visible early enough to act on, not discovered after the event
- Teams answering their own questions instead of queuing for a report
- Leadership decisions made on data everyone in the room trusts
Contact
Start with a conversation.
Whether you have a defined requirement, an ageing estate, or just a problem worth solving, we'll give you a clear, honest view of the way forward. Every engagement begins with discovery.
Start a conversation