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Data Analytics & Business Intelligence

Data cleaning, reporting databases, Power BI reports and web dashboards built around the questions your managers ask every week, with definitions agreed before a single chart is drawn.

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The problem

When the numbers start an argument.

Three versions of the same number

Sales says one figure, accounts another, and the meeting is spent arguing about which is right.

Reports rebuilt every Monday

Someone spends half a day exporting and pasting spreadsheets into the weekly report.

Dashboards nobody opens

Forty charts were built once, and nobody can find the three numbers they need.

Data nobody has checked

Duplicates, gaps and wrong dates quietly distort every decision made from the data.

What we build

Reporting that settles the argument.

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Data Analytics & Business Intelligence

Data audits and cleaning

Every column checked for duplicates, gaps, impossible values and fields that cannot be trusted, with each fix logged.

A laptop showing a chart on a dark desk with a phone and notebooks.

Data Analytics & Business Intelligence

Reporting databases

Sales, stock and finance data brought into one clean database that refreshes on schedule.

A laptop showing a blue bar chart on a cluttered desk.

Data Analytics & Business Intelligence

Power BI reports

Reports with measures and definitions documented, refreshed automatically and shared securely.

A laptop displaying a dashboard of charts in soft blue light.

Data Analytics & Business Intelligence

Web dashboards with actions

Dashboards that also let people approve, assign and follow up, without per-user licence costs.

How it gets built

From messy exports to one trusted screen.

  1. 01

    Ask the Monday questions

    Each manager's recurring questions, and the decision each answer feeds into.

  2. 02

    Agree the definitions

    Sales before or after returns, which month, which customers count as active, written down.

  3. 03

    Audit the data

    Every source checked and reconciled against figures the team already trusts.

  4. 04

    Model and automate

    A clean data model and an automatic refresh, so nobody pastes spreadsheets again.

  5. 05

    Design one screen

    The few figures that matter at the top, the movement that explains them, and a list of what needs attention, with detail a click away.

  6. 06

    Hand over

    Written definitions and data sources, so your team can extend the reports without us.

What the reporting work leaves behind.

  • Data audit report with every fix logged
  • Clean reporting database
  • Power BI or web dashboard
  • Automatic refresh schedule
  • Documented definitions and measures
  • Weekly summary by email or WhatsApp

Tools we use

  • Power BI
  • SQL
  • PostgreSQL
  • Python
  • Excel
  • DAX
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Questions

What people ask about Data Analytics & Business Intelligence

Usually a few weeks: the first part is agreeing definitions and checking the data, which is what makes the numbers trustworthy later.

Questions? We will put you on the right path

Tell us what you want from Data Analytics & Business Intelligence and we will tell you what it would take.

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