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Data analysis and reporting

Raw data becomes reliable numbers: reports, KPIs and forecasts that decisions can rest on. Mathematically sound, understandable to business units.

Item 03·Unit Stage · fixed price·Acceptance Report with data lineage

Typical starting point

  • Every department has its own numbers, and in the meeting none of them agree.
  • The monthly report is assembled in two days of manual work from exports and pivot tables.
  • There is data for forecasts, but nobody trusts the results because the calculation cannot be traced.

What we deliver

  • KPI definitions signed off jointly by business units and management
  • Data model and reporting layer from which all reports draw the same numbers
  • Automated reports and dashboards with a traceable origin for every figure
  • Statistical models and forecasts with documented assumptions and margins of error
  • Data-quality checks that flag deviations before they reach a report

How it runs

  1. Clarifying the questions to be answered before any data is touched
  2. Data preparation and model, checked against known reference values
  3. Reports and dashboards, agreed with the people who read them
  4. Handover with documentation of the calculation method