Business Intelligence & Performance Analytics
Accounting systems, bookings, customer records, job software and spreadsheets all hold part of the picture. The challenge isn't always a lack of data. It's understanding what matters — and what to do about it.
WHAT WE ANALYSE
01
Understand what contributes most, where margins are lost and what each hour of work earns. Use the findings to inform pricing, prioritise services and review the job mix.
02
Identify valuable customer groups and patterns in repeat business. Understand who stays, who becomes inactive and where retention deserves attention.
03
See how resources and time are used, where jobs slow down and what drives costs. Agree practical efficiency improvements rather than relying on guesswork.
04
Understand demand, conversion and concentration. Find opportunities for sustainable growth without confusing a short-term spike with a lasting trend.
05
Bring a commercial finance perspective to management decisions: explain performance, track cash and compare plans with reality. This is decision-support reporting, not an accountancy or tax service.
06
Where data quality and volume are sufficient, explore what may happen next and test alternative scenarios. Predictive outputs are estimates, not guarantees; assumptions and limitations stay visible.
FROM DATA TO DECISIONS
01
Understand and access the data held in your existing business systems.
02
Clean, reconcile and examine the information to identify patterns and performance drivers.
03
Translate findings into clear commercial and operational insights.
04
Identify practical improvements, agree priorities and monitor the results.
It helps you decide what to do next.
PRACTICAL APPLICATIONS
Illustrative applications — not completed client engagements. Concept: fictional business and data.
01
Compare contribution by vehicle type and repair job, the effect of labour time on profitability, and patterns in returning customers.
02
Understand job profitability, travel time, quotation conversion, technician utilisation and repeat work.
03
Analyse project profitability, billable utilisation, client value, resource allocation and revenue recovery.
04
Understand product margins, purchasing patterns, repeat sales, stock performance and revenue trends.
05
Review maintenance costs, contractor performance, completion times, recurring faults and service profitability.
AN INTERACTIVE EXAMPLE
See how everyday job and customer data can reveal opportunities to improve profitability and performance.
KINGSWELL · DATA LAB
Total revenue
£4,445
Gross profit
£2,148
Gross margin
48.3%
Jobs completed
9
Average revenue / job
£494
Gross profit / labour hour
£71
Gross profit / labour hour · Highest first
| Job type | Jobs | Revenue | Parts cost | Labour cost | Gross profit | Margin | Labour hours | Profit / hour |
|---|---|---|---|---|---|---|---|---|
| Routine servicing | 1 | £265 | £70 | £49 | £146 | 55.1% | 1.8 | £83 |
| Timing belt replacement | 2 | £1,355 | £420 | £238 | £697 | 51.4% | 8.5 | £82 |
| Brake repairs | 2 | £765 | £280 | £126 | £359 | 46.9% | 4.5 | £80 |
| Diagnostics | 2 | £315 | £25 | £77 | £213 | 67.6% | 2.8 | £77 |
| Clutch replacement | 2 | £1,745 | £655 | £357 | £733 | 42.0% | 12.8 | £57 |
Gross profit = revenue − parts cost − direct labour cost. Figures exclude VAT and overheads. Fictional direct labour rate: £28/hour. No live connections or predictive model.
The engagement is shaped around your questions and available data. Analysis can be commissioned independently; a dashboard is added when it supports the brief. Your proposal confirms the deliverables — not every engagement includes everything below.
Tell us which systems you use and what you'd like to understand better. We'll help you explore what's possible.
Discuss Your DataAvailable independently or alongside our other digital services. Scope and costs agreed before work starts.