BI development services

Dashboards and reports your managers believe.

We pull your data out of spreadsheets, exports and separate systems into one model, agree a single definition for each KPI and build dashboards that refresh on their own. Your team stops assembling reports and starts using them.

Talk through your reporting

Before and after

What bad reporting costs, and what good reporting gives back

Most BI projects we take on start with the same three complaints. The second list is where they end up.

The usual starting point Reports that take days and still get questioned
01

Data in too many places

The figures you need sit in system exports, personal spreadsheets and files only one person understands.

02

Two answers to the same question

Sales and finance each report “revenue”, the two numbers differ and the meeting is spent arguing about which is right.

03

The same report rebuilt by hand

Every week or month someone copies, pastes and checks for hours to produce a pack that is out of date by the time it is sent.

Where you end up One version of the numbers, always up to date
04

Answers in minutes

Managers open a dashboard and see the current position. Nobody waits for an analyst to pull the data.

05

Everyone reading the same figures

Each KPI is calculated once, in one place, so every team and every report shows the same number.

06

Problems spotted while they are small

When the data is current and trusted, a dip in performance shows up this week, not at quarter end.

What we build

BI and data work we deliver

We work mainly in Power BI, SQL, Python and Microsoft Fabric, and we start from the decisions the report has to support, not from the tool.

Dashboards and management reporting

Dashboards people open every morning

Interactive dashboards and board packs designed around the questions your managers ask.

  • Power BI dashboards
  • Monthly and weekly management packs
  • Exception and performance views
Data modelling and engineering

A clean data model underneath

We combine your sources into one structured model, so new reports take hours to build and not weeks.

  • Data models and semantic layers
  • Pipelines from your source systems
  • Cloud data platform migration
KPI design

KPIs with one agreed meaning

We work with your leaders to define each measure, who owns it and how often it is reviewed.

  • KPI frameworks and scorecards
  • Documented calculation rules
  • Review cycles that fit your meetings
Reporting automation

No more copy and paste

Reports refresh, check themselves and send on schedule.

  • Scheduled refresh and distribution
  • Automatic alerts on exceptions
Data quality

Numbers that hold up to scrutiny

Validation rules, documentation and named owners, built in from the start.

  • Automated data validation
  • Documented measures and sources
Advanced analytics

Analysis beyond the dashboard

Forecasting, pricing analysis and modelling for questions a chart cannot answer.

  • Forecasting and predictive models
  • Pricing, range and commercial analysis

How the data flows

Every number on screen can be traced back to its source.

A dashboard is only as good as what sits underneath it, so we build all four stages and not just the last one.

  1. 01 Source data

    We connect to your systems, spreadsheets and exports and map what each field means.

  2. 02 Modelling

    The data is cleaned, joined and structured into a model that every report shares.

  3. 03 Reporting

    Dashboards use the agreed KPI definitions and refresh automatically.

  4. 04 Decision

    Your managers review the numbers, spot the exceptions and act.

Keeping the numbers right

The checks behind every report we ship

A report nobody trusts is worse than no report. These are the controls we build in so that yours stays accurate after we have left.

Built into every project Anyone can see how a number was calculated, who owns it and when it last refreshed.

One definition per KPI

The same calculation, filters and date logic wherever a measure appears.

A named owner

Every data source and report has someone responsible for it.

Access by role

People see the data their role needs, and nothing more.

Written-down logic

Every measure and transformation is documented, so it can be checked and maintained later.

Checked against source

Outputs are reconciled to the source systems before anyone relies on them.

Refresh you can see

Late refreshes, missing inputs and unusual jumps are flagged before a report is shared.

How we deliver

How a reporting project runs

A single dashboard can go through these steps in a few weeks. A full reporting rebuild takes longer, in the same order.

  1. 01

    Find out who needs what

    We ask who reads each report, which decisions they make from it and what frustrates them today.

  2. 02

    Look at the data you have

    We check your sources for gaps and quality problems, and tell you early if something will not work.

  3. 03

    Agree the KPIs and model

    Definitions, owners and the structure of the data model are agreed and written down before we build.

  4. 04

    Build and check

    We build the dashboards and reconcile every figure back to source.

  5. 05

    Roll out and refine

    We train your team, watch how the reports are used and adjust them as your questions change.

Questions we get asked

Short answers to what clients ask before a BI project. Ask us directly.

Which BI tools do you work with?

Mostly Microsoft Power BI and Microsoft Fabric, with SQL and Python underneath. We also work with Tableau and Excel where a client already uses them.

Our data is messy and spread across systems. Can you still help?

Yes, and that is the normal starting point. The first stage of any BI project is finding out what data you have, what state it is in and what needs fixing before a dashboard can be trusted.

How long does it take to build a dashboard?

A single dashboard on reasonably clean data can be live in a few weeks. A full reporting rebuild across several departments takes longer and is delivered in stages, so you get useful reports early.

What is the difference between BI and AI?

BI shows you what has happened in your business, accurately and on time. AI takes on tasks such as reading documents or drafting replies. Many clients need good BI first, because AI built on unreliable data gives unreliable answers.

Can you maintain our reports after they are built?

Yes. You can take a full handover with documentation, or keep a NexAura analyst or BI developer on through our managed services.

Ready for one agreed version of your numbers?

Show us the report that causes the most pain. In a 30-minute call we will tell you what it would take to automate it and get the numbers agreed.

Book a call