We help UK businesses make sense of the data they already hold. From statistical analysis and forecasting to dashboards and clear written findings, we turn messy datasets into answers your team can act on.
Most companies sit on more data than they use, spread across spreadsheets, systems, and external sources that never quite line up. We bring it together, check it, and analyse it against the specific question you need answered, then hand back the result in a form your team can actually use. The same 99.8% accuracy standard and full GDPR compliance apply to every project.
We start with the decision you need to make, agree what a useful answer looks like, and map which datasets can support it.
We clean and combine the data, then run the analysis or build the model, checking the output against figures you already trust.
We hand over the findings as a report or dashboard, walk your team through them, and document the method so you can repeat it.
Descriptive statistics, correlation, and significance testing to tell you what the data actually shows rather than what it appears to suggest at a glance.
Forecasting and machine-learning models for demand, churn, and risk, each delivered with a plain explanation of how it works and how far to trust it.
Interactive dashboards in Power BI, Tableau, or Looker that put your key metrics in one place and refresh on a schedule you set.
Grouping customers, products, or markets by behaviour and value, so your targeting and pricing decisions rest on evidence rather than assumption.
We merge sources, remove duplicates, and fix formatting through our data cleaning service before any analysis begins.
Clear written findings and charts that a non-technical reader can follow, with the underlying detail available for anyone who wants it.
Every project ends with a deliverable your team can use without us in the room: a written report with specific recommendations, an interactive dashboard, a clean dataset, or a combination. You also get the method documented, so the work can be repeated or extended later. We agree a fixed scope and quote before any work starts.
Web scraping collects the raw data; data analysis makes sense of it. We do both, so a project can run from gathering public web data through to the model or dashboard that answers your question.
Yes. We work with data from your spreadsheets, CRM, and databases, and we can combine it with external sources, reconciling everything into one dataset first.
We run analysis in Python, R, and SQL, and build dashboards in Power BI, Tableau, and Looker. The method fits the question, from descriptive statistics to time-series forecasting and predictive models.
Request a quote and tell us the question you want answered. We scope the data, method, and deliverables and come back with a fixed proposal within 24 hours.
Contact us today for a free consultation and quote for your data analysis services project.
Get Free ConsultationTry our free tools for developers and businesses: