Business reporting dashboard development services

Choosing a BI tool

One shared data model

A crucial piece of a BI setup is not a dashboard but the shared data model underneath: cleaned tables, relationships and measures such as revenue, margin or active customers, defined once. Every dashboard draws from it, so figures agree. Users can still build their own views, but they start from trusted measures rather than recalculating from raw data. Changes to the model go through an owner, so definitions do not drift.

Without a shared model, self-service often multiplies disagreements instead of resolving them.

Trusted and personal dashboards

Introducing the tool

1. 01

   Foundations

   Data sources connected and model built.

   Output: Shared model

2. 02

   First approved dashboards

   A few high-value dashboards built and checked.

   Output: Trusted views

3. 03

   Train builders

   Selected staff trained on the model and good practice.

   Output: Capable analysts

4. 04

   Open self-service

   Wider users explore within permissions.

   Output: Broader use

5. 05

   Govern

   Regular tidy-up of unused and duplicate dashboards.

   Output: Manageable estate

Training that prevents problems

• Use the shared measures

  Do not recalculate revenue or margin from raw data.

• Check filters

  Make sure periods and filters are what you think.

• Design for readers

  Clear titles, sensible charts and accessible colours.

• Know the tiers

  Personal dashboards are not official figures.

Keeping the dashboard estate tidy

Over time, dashboards accumulate. Usage reports from the BI tool show which are viewed and which are abandoned. Reviewing them every few months, archiving unused ones and merging duplicates keeps people finding the right dashboard. Owners should confirm their approved dashboards remain accurate when source systems or definitions change.

Data permissions inside the tool

BI tools can expose sensitive data easily once it is in the shared model: salaries, margins by customer, personal details. Decide which data belongs in the model at all, then set permissions so people see only what their role allows, including row-level restrictions such as a regional manager seeing only their region. Check that exports and shared links respect the same limits. Review access when people change roles or leave.

Keeping personal data out of the model unless it is genuinely needed avoids many problems.

Refresh schedules and failures

Dashboards depend on data refreshing on schedule. Set refresh times that suit how figures are used, show the last refresh time on each dashboard and alert the owner when a refresh fails. Users quickly lose trust in a dashboard that silently shows yesterday's figures as if they were today's.

Who looks after the BI setup

Name an owner for the shared model and for each approved dashboard. In smaller organisations this may be one person in finance; larger ones may have a small data team. Without owners, definitions drift and broken dashboards linger.

Retiring old spreadsheets

Once approved dashboards are trusted, stop producing the spreadsheets they replace, so there is one version of each figure.

Accessible dashboards

Include accessibility in builder training: readable labels, enough contrast and status shown with text as well as colour.

Piloting with one team

Trying the setup with one team first reveals gaps in the model before the whole organisation relies on it.