Data Science & Analytics

Make Decisions Based on Data, Not Guesswork

We help businesses collect, structure and analyse their data, then put the answers in front of the people making decisions. From the first data audit to dashboards your managers open every morning.

In-house engineering team Fixed scope before work starts Support after launch
Overview

From scattered data to answers you trust

Most businesses have more data than they use. It sits across the ERP, spreadsheets, the POS and a few cloud tools, each with its own version of the truth. We bring it together, clean it and model it so the numbers agree everywhere.

Then we answer the questions that matter: which products make money, which customers are slipping away, where costs are rising. Every analysis ends in a decision or a dashboard, not a slide deck.

Sound familiar?

  • Every report shows a different number Sales says one figure, finance says another.
  • Month-end reporting takes days Someone exports, pastes and reconciles by hand.
  • Managers ask questions nobody can answer The data exists but pulling it takes a week.
  • You are not sure what to measure KPIs were set years ago and no longer match the business.
Capabilities

What we deliver

Data strategy

Map your data sources, assess quality and plan what to fix, collect and measure first.

  • Source inventory
  • Quality report
  • Roadmap

Data engineering

Pipelines and a central store that keep data clean, consistent and up to date.

  • ETL pipelines
  • Data warehouse
  • Monitoring

Business intelligence

Interactive dashboards for daily operations and monthly reviews.

  • Executive dashboards
  • Team views
  • Scheduled reports

Statistical analysis

Deep dives into the questions behind your numbers: what drives sales, margins or churn.

  • Driver analysis
  • Segmentation
  • Experiment design

Data visualisation

Charts designed to be read in seconds, with the decision they support made obvious.

  • Report design
  • Chart standards
  • Board packs

KPI framework design

Agree what to measure, how to calculate it and who owns each number.

  • KPI definitions
  • Targets
  • Ownership map
How We Work

From First Call to Running System

  1. Discover

    We talk through the problem, the people involved and the systems you already run. You get an honest view of whether we are the right fit.

  2. Scope

    A written proposal with features, timeline and cost agreed before any work starts. No open-ended billing.

  3. Build

    Our in-house team builds in short cycles and shows you working software along the way, so feedback lands early.

  4. Launch & Support

    We deploy, train your team and stay on for fixes and improvements once the system is in daily use.

Use Cases

Where businesses use this

  • Retail chains

    Branch and product profitability compared side by side, updated daily.

  • Distributors

    Customer and route analysis to see which accounts are worth the delivery cost.

  • Service businesses

    Utilisation and booking trends to plan staffing ahead of demand.

  • Management teams

    One monthly pack with numbers everyone agrees on.

Technology

Tools We Build With

Chosen for the problem, and for what your team can maintain after launch.

Languages

  • Python
  • SQL

Analysis

  • Pandas
  • scikit-learn

Storage

  • PostgreSQL
  • MySQL

Reporting

  • Power BI
  • Custom web dashboards
FAQ

Questions We Get Asked

Something else on your mind? Ask us directly.

No. We start from the systems you already have and only add a central store when the volume or number of sources needs it.

Free Discovery Call

Tell Us What You Are Trying to Fix

A 30-minute call with the engineers who would build it. You leave with an honest assessment and a sensible next step, whether or not we work together.