A finance director and an analyst discussing a figure on a large meeting-room dashboard

Service

Data Visualization & Reporting

Most dashboards get a burst of attention when they launch and are barely opened three months later. We start from a different question: what should the person looking at this actually do next? Then we build the thing that helps them do it.

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People will not check a dashboard daily to see if anything went wrong. The system should tell them.

An executive summary dashboard: revenue by month against last year, revenue by region, report adoption and refresh reliability

Three jobs, three different products

Most organisations build the same kind of dashboard for all three, which is why so many go unused. Each one needs something different.

Watching for something going wrong

Nine times out of ten everything is fine, so nobody keeps checking. This needs an alert that reaches the right person with enough detail to act, plus a simple screen to investigate when it fires.

Making the same decision regularly

What to reorder, how to staff next week, where to move budget. This needs a screen that shows the decision and the evidence for it, not twelve filters the user has to configure first.

Genuinely investigating something new

This is the one case where a flexible, filter-everything tool is right. It is also a much smaller share of what people actually need than most tool budgets assume.

We measure whether it changed anything

Counting dashboards built and users logged in tells you how busy the team was, not whether the business is better off. We would rather be judged on three harder questions.

How long between something going wrong and someone finding out
How long between finding out and doing something about it
How many of your regular decisions have proper evidence behind them at all

What we deliver

One agreed definition of every number

So that 'revenue' means the same thing in every report, and two people asking the same question cannot get two different answers.

Alerts that reach the right person

Sent to an individual or a team channel, containing enough information to judge how serious it is without opening anything else.

Screens built around a decision

For the choices your teams make every week, showing the recommendation and the reasoning rather than raw charts to interpret.

Board and executive reporting

A short set of measures that survives hard questions, with what is excluded stated openly and history corrected whenever a definition changes.

Self-serve enablement

Good data and good access for the analysts who genuinely explore, instead of building views on their behalf.

Clearing out what nobody uses

Unused dashboards get archived automatically, with one click to bring them back. Nothing is lost, and what remains is what people actually rely on.

An interactive data visualisation on a large screen

We start by asking what you do next

Before designing anything we sit with the people who will use it and ask what decision it is meant to support. That one question changes most briefs.

Common questions

We have hundreds of dashboards. Where do we start?

Not by trying to tidy them all up, because those projects are unpopular and rarely finish. We look at the twenty or thirty people genuinely use and ask what they do after looking. Around half usually turn out to be someone checking for problems, and those become alerts instead.

Which reporting tool should we use?

Usually the one you already have. The tool is rarely what is holding you back, and switching is expensive and tends to recreate the same problems in a new interface.

Will more people use our dashboards afterwards?

Total views usually go down, because the checking moves to alerts. The time between something happening and someone acting on it goes down far more, and that is the measure we would rather be judged on.

The full reporting service

Beyond deciding what to build, this is what building and running it involves.

Colleagues working through a problem together

Connecting your business systems

CRM, ERP, marketing platforms and finance systems brought into one place, so a report does not need three exports to produce.

Cloud data pipelines

On AWS, Azure or Google Cloud, feeding the reporting layer on a schedule that matches when decisions get made.

End-to-end BI builds

Power BI, Tableau and Looker, implemented properly rather than installed.

Forecasting and scenario planning

Models that project trends, customer behaviour and outcomes, with the uncertainty stated rather than hidden.

Dashboards that work on a phone

Because a good number of the people who need them are not at a desk.

Training, documentation and support

Hands-on sessions and written guidance, plus ongoing monitoring and tuning after launch.

Ready to turn complexity into your next advantage?

Pick your most-used dashboard and ask the people who open it what they do next. If nobody has a clear answer, that is where we would start.