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Arla Foods logoCPG & Retail

17 countries of sales data unified, reporting time down 55%

The central analytics team was hand-processing over a billion rows a month into static spreadsheets that took up to 20 days to prepare. Every region now feeds one automated workflow that reports in real time.

55%
less reporting time
1.4×
increase in ROI
1B+
rows a month, 17 countries

The workflow

What replaced the manual work

  • Regional sales data, 17 countries
  • Over a billion rows a month
One pipeline
  • Connect
  • Clean
  • Automate
  • Share

Recorded once, re-run on a schedule.

  • Real-time reporting
  • Dashboards regions serve themselves

Outcomes

What changed

  • Preparation dropped from 20 days to real time
  • Zero IT hours required to generate or maintain reports
  • Over a billion rows a month handled across 17 countries without breaking the workflow
  • Regional teams self-serve their own dashboards with no SQL

What they used

The parts of Mammoth involved

  • Data Engine
  • Scheduled refresh
  • Power BI connector
  • Free viewers

Start with one source and one question.

That's how this deployment began too. Twenty minutes on the free plan is a fair test.

  • 21-day Pro trial
  • No credit card
  • Viewers always free