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Data & Analytics

Dashboards your executives actually open.

We build the reporting layer that turns scattered spreadsheets into one number everyone trusts — then add the forecasting that tells you what happens next.

40%
Less reporting time
1
Single source of truth
6
Weeks typical build
100%
Methods documented
Services

Six capabilities, one data layer

Take one or the whole stack. Most clients start with a dashboard and grow into prediction once leadership trusts the numbers.

Business Intelligence Dashboards

Live Power BI or Tableau dashboards for sales, operations, finance and programme delivery — on desktop and phone.

Data Engineering & Warehousing

Pipelines that pull from your ERP, CRM, spreadsheets and databases into one clean, governed store.

Predictive Analytics

Demand forecasting, churn scoring, credit risk and yield models validated against your own history.

Data Cleaning & Migration

Deduplication, standardisation and validated migration when you change systems.

Performance Reporting

Automated monthly and quarterly reporting packs — donor, board or regulator format.

Survey & Statistical Analysis

SPSS, Stata, R and Python analysis with the assumptions and limitations written down.

What good looks like

One screen. Every question answered.

A dashboard is not a wall of charts. It answers the four or five questions your leadership actually asks every month, in the order they ask them.

  • Refreshes automatically — nobody rebuilds it by hand
  • Drill from the headline number to the source record
  • Works on a phone in a meeting with poor signal
  • Row-level security so each manager sees only their scope
  • Alerts pushed to email or WhatsApp when a threshold breaks
Revenue & Delivery — Live Auto-refresh
REVENUE YTD
$4.8M
+18.2%
COST PER UNIT
$21.40
-9.6%
ON-TIME RATE
94%
+4.1%
Q1
Q2
Q3
Q4
Forecast Q1 next year $1.42M ±6%
Toolchain

We work in what you already own

If you have Microsoft 365, you probably already have Power BI licences. We will use them rather than sell you something new.

Power BITableauExcel & Power QuerySQL ServerPostgreSQLPythonRSPSSStataAzureGoogle BigQueryLooker Studio
Delivery

From spreadsheets to signed-off dashboard in six weeks

1

Define the questions

We interview the people who will use it and write down the decisions it must support.

2

Map the data

Where each number lives today, how reliable it is, and what needs cleaning first.

3

Build & validate

Prototype in week two. You test against numbers you already know are correct.

4

Hand over

Training, documentation and a 30-day support window. You own it outright.

FAQ

Questions we get asked

No — it is the normal starting position. Cleaning and structuring is part of the engagement, and the assessment stage tells you honestly how much work it is before you commit to the full build.
Usually not at first. For most mid-sized organisations a well-designed model on top of existing systems is enough. We only recommend a warehouse when data volume or the number of sources genuinely requires it.
You do, completely — files, queries, documentation and licences in your own tenancy. There is no dependency on us to keep it running, and no charge to walk away.
Yes. Handover training is included, and deeper tool training is available through our Analytics Hub if you want internal capability rather than a retainer.
We report accuracy honestly against a held-out test set and state the confidence interval. If a model is not good enough to base decisions on, we tell you rather than ship it.
Get started

Bring your messiest spreadsheet.

In a 30-minute call we will show you what it could look like as a live dashboard and tell you what it would take to get there.

No obligation · Response within one business day · NDA on request

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