Data analytics that answers business questions

We analyse your business and operational data to answer specific questions (why margin dropped, which customers are at risk, where a process loses time) and turn the answers into metrics your teams can track.

What we do

Scope of work

  • Questions and KPI definitions

    Workshops with business owners to agree which decisions the analysis must support and a single definition for every metric.

  • Exploratory and root-cause analysis

    Combining sales, finance, operations and product data to find what drives a trend, not just to describe it.

  • Customer and product analytics

    Segmentation, cohort and retention analysis, funnel conversion and pricing analysis.

  • Operational and process analytics

    Lead times, bottlenecks, utilisation and quality metrics based on data from ERP, MES or ticketing systems.

  • Semantic layer

    Shared business definitions in dbt or Power BI semantic models, so every report calculates revenue the same way.

Technologies

Typical technologies

We are not tied to any single vendor: we work on public and private clouds and adapt to your environment, licences and team skills. These are the tools we use most often in this area.

Languages and libraries

  • SQL
  • Python
  • R
  • pandas
  • Polars
  • Jupyter

Data platforms

  • Snowflake
  • BigQuery
  • Databricks
  • ClickHouse
  • DuckDB
  • PostgreSQL

Modelling and semantic layer

  • dbt
  • SQLMesh
  • Cube

BI tools

  • Power BI
  • Looker
  • Tableau
  • Apache Superset
  • Metabase

Related services

Often combined with this service

Let's talk about your project

Tell us where you are today and what you want to achieve. We will suggest a concrete first step, and we can sign an NDA before any technical discussion.

Discuss your project