Data analytics consulting.
Most companies do not lack data. They lack a clear read of what it means for the decision in front of them. We are an independent data analytics consultancy: we look at a company's data, whatever the source, and work out which few numbers actually matter.
The result is a read leadership can act on: what changed, why, and what to do next. Where something is uncertain, we say so, with a range instead of a single number that looks more precise than it is. If the analysis has to repeat every week or month, we build the software that runs it, in the same engagement.
What our analytics consulting covers
- Diagnosing which numbers actually drive a decision, and which can be ignored
- Reconciling figures that disagree across finance, stock, and operations
- Margin, cost, and performance analysis with a trail back to the source files
- Forecasts and projections stated as ranges, with the assumptions listed
- KPI design that flags exceptions instead of showing every number at once
- Dashboards and reports in Power BI or Apache Superset
- Pipelines and automation so the analysis keeps running without us
When companies call us in
Numbers that do not agree
Cash and margin tell different stories, or two reports give two answers to the same question. We find where the story diverges and make the difference visible.
A decision waiting on analysis
Pricing, a new site, a supplier, a product line. We name the decision first, then do only the analysis that changes it.
No in-house data team
You need analysis done properly, but not a full-time hire. You work directly with the people doing the work, not an account manager.
How the engagement runs
- 01Diagnose. We name the decision, and say what is already good enough to act on.
- 02Analyse or build. Analysis, software, or both. We write down time and scope before starting.
- 03Ship. A read people can use, or a system the company can run.
- 04Review. We sit with the people who decide, then agree what to watch next.
See the full process, an example of the work, or who does it.
Common questions
What does a data analytics consultant actually do?
A data analytics consultant turns a company's existing data into answers for a specific decision. In practice that means cleaning and joining extracts, working out which numbers matter, testing what drives them, and presenting the result so the people who decide can use it. We also build the software when the analysis needs to repeat.
Do we need clean data before we start?
No. We start from the extracts and systems already in hand. Part of the diagnostic is saying what is already good enough to act on, and what is missing.
How much does it cost?
We quote after a short diagnostic conversation, not from a price list, because the right shape of the work depends on what is actually broken. Time, scope, and stop conditions are written down before the work starts. There is no quote, and no charge, for the first conversation.
Who owns what you build?
The company does. Code, models, dashboards, and documentation are handed over. It is not a product you rent from us or a service you have to keep paying us to run.
Related services
If your numbers do not add up, a report is still built by hand, or your team has outgrown its tools, get in touch.
A few sentences on the situation are enough. We reply from the same address you see here.