Data analysis and machine learning that answer business questions
Forecasting, segmentation, lead scoring and algorithm optimisation built on your own data, explained in plain language and tied to decisions.
About our data analysis & machine learning service
Data science is useful when it changes a decision: which leads to call first, how much stock to order, which customers are likely to leave, or where an algorithm is wasting time and money. We start with that decision, then check whether your data can support it.
We clean and analyse your data, build and test models, and optimise existing algorithms for speed and accuracy. Results are explained in plain language, and models are deployed into your CRM, dashboard or app so they are actually used.
What's included
Exploratory analysis
Patterns, trends and data quality issues found and explained.
Forecasting
Sales, demand and cash flow forecasts with error ranges.
Segmentation and scoring
Customer segments and lead scores for marketing and sales.
Algorithm optimisation
Faster, more accurate algorithms and queries in your existing systems.
Model deployment
APIs and integrations so predictions appear where your team works.
Monitoring
Accuracy tracked over time and models retrained when needed.
How it works
We start small, prove the value on one process, then extend. Your data stays in your accounts throughout.
Map the process
We sit with the people who do the work and document every step, tool and handoff.
Design the solution
We choose the simplest reliable approach, from no-code automation to custom AI, and agree success measures.
Build and test
We build on staging with your real data, test edge cases and train your team.
Run and improve
We monitor results, fix issues and add the next process once the first one is paying off.
Is this right for you?
A good fit if
- You have at least a year of reasonably clean business data
- A specific decision would improve with better predictions
- Your algorithms or reports are slow or inaccurate
Probably not the right fit if
- You have very little historical data
- You want AI for its own sake without a decision to support
More ai & data solutions services
Data Analysis & Machine Learning: common questions
Something else on your mind? Ask us directly or message us on WhatsApp.
How much data do we need?
It depends on the question. Many forecasting and scoring projects work with one to two years of records. We check your data before recommending a model.
Can you improve an algorithm we already use?
Yes. We review the logic, data and code, then optimise for speed, accuracy or cost and measure the improvement.
Will we understand the results?
Yes. We explain what the model does, how accurate it is and what drives its predictions, without jargon.
Where do the models run?
In your cloud account or ours, connected to your CRM, dashboard or app through an API.
Get a free process review
Tell us where your team loses time. We'll map the process and send a written plan showing what to automate first and what it would save.
- Repetitive work and data gaps identified
- Tools and integrations recommended
- Estimated hours saved per month
Prefer to talk now? Message us on WhatsApp
Request your free audit
Takes about a minute. Only the first three fields are required.