Data Analytics & Business Intelligence
Most organisations already hold the data they need. We bring it together, check its quality and build the analyses, forecasts and dashboards that make it useful for day-to-day decisions.
What we offer
15 services, grouped by stage. Most projects use several of them together.
Data foundations
- Data collection and integration
- Data cleaning and preprocessing
- Data quality assessment
Analysis
- Exploratory data analysis
- Statistical data analysis
- Predictive modelling
- Forecasting
- Customer segmentation
- KPI analysis
Reporting and tools
- Data visualisation
- Business intelligence dashboards
- Automated reporting
- Advanced Excel analysis
- R and Python analytical workflows
- Power BI dashboards, where appropriate
What a finished dashboard looks like
An example of the kind of dashboard we build. Switch metrics or hover over the chart to explore. The figures are invented for demonstration.
Retail performance dashboard
Illustrative data, not client information- Orders, September
- 1,420
- +14.5% on last year
- Repeat customer rate
- 38%
- +3 points on last year
- Average order value
- £42.00
- +2.1% on last year
- Satisfaction score
- 8.4
- Out of 10, n = 612
September vs last year: +14.5%
This year Last year
View data as a table
| Month | This year | Last year |
|---|---|---|
| Oct | 1,180 | 1,050 |
| Nov | 1,265 | 1,110 |
| Dec | 1,490 | 1,320 |
| Jan | 1,120 | 1,010 |
| Feb | 1,145 | 1,035 |
| Mar | 1,260 | 1,100 |
| Apr | 1,310 | 1,160 |
| May | 1,385 | 1,205 |
| Jun | 1,402 | 1,230 |
| Jul | 1,350 | 1,190 |
| Aug | 1,298 | 1,150 |
| Sep | 1,420 | 1,240 |
Customer segments
Share of customers, from k-means clustering
- Loyal regulars31%
- Seasonal buyers24%
- Bargain seekers19%
- New customers16%
- Lapsed10%
Problems we often help with
Typical starting points for a conversation. If your question is not here, it is still worth asking.
- “Our reports take days to compile by hand.”
- We automate the pipeline from source data to finished report, so the numbers refresh on a schedule and are produced the same way every time.
- “We have lots of data but no clear picture.”
- Exploratory analysis identifies what the data can and cannot tell you, and which measures actually track the outcomes you care about.
- “Which customers should we focus on?”
- Segmentation groups customers by behaviour and value, giving marketing and sales teams clear, testable priorities.
- “Can we forecast next quarter's demand?”
- We build forecasts with honest uncertainty ranges, and show how far ahead they remain useful.
Discuss your project
Tell us what you are working on. We will reply to arrange an initial conversation and, if it is a good fit, send a written proposal with scope, method, timeline and cost.
Who this service is for
- SMEs and growing businesses
- Marketing teams and operational managers
- Research organisations
- Educational institutions