Turn your data into clear answers.

Data Analytics

In simple words: We look through your data and turn it into clear reports and charts that show what is happening and what to do next.

Transform raw data into actionable business insights with analysis, reports, predictive models and dashboards your team will actually use.

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Data Analytics
PythonpandasSQL

For example: A retailer had years of scraped competitor data but no way to read it. Pricing decisions are now based on data instead of guesswork. See how we did it ↓

The problem

Why teams come to us

Data is only valuable when you can understand it, and raw exports rarely tell you what to do next.

What you get

  • Data visualisation
  • Custom reports
  • Predictive analytics
  • Business intelligence
  • Performance metrics and KPIs
  • Automated reporting

Benefits

What changes for your team

01

Make decisions based on data, not guesses

02

Spot trends and opportunities faster

03

Automate reporting to save time

04

Track KPIs across your organization

05

Predict future outcomes with modeling

How it works

From first call to working result

  1. 1

    Discovery call

    A free 30-minute call to map your goal, sources, volume and where the result should land. NDA on request.

  2. 2

    Sample first

    We build a small working sample so you can check fields, format and quality before the full build.

  3. 3

    Build & test

    We build the full solution, test it on real data and edge cases, and share progress as we go.

  4. 4

    Deliver & support

    You get the result, the source code and short handover notes, plus fixes during the support window.

Example project

A clear view of the market

The challenge
A retailer had years of scraped competitor data but no way to read it.
What we built
We analysed pricing trends, flagged the categories where they were overpriced and built an automated monthly report.
The outcome
Pricing decisions are now based on data instead of guesswork.

An illustrative example of a typical data analytics engagement.

A clear view of the market

Use cases

Where this helps

Sales and marketing analysisMarket researchPricing analysisOperations reporting

Tech stack

Tools we use

PythonpandasSQLLooker StudioPower BIMetabase

FAQ

Questions about data analytics

Which tools do you use?

Python, SQL and BI tools such as Looker Studio, Power BI or Metabase, depending on your stack.

Can reports update automatically?

Yes, we connect reports to your data so they refresh on schedule.

Do you do predictive modelling?

Yes, forecasting and scoring models where the data supports it.

Related services

Often combined with

Ready to talk about data analytics?

Send a short brief or book a call. A senior engineer replies within a few hours.

Book a free call ↗