CPG & Retail · Denmark

How Arla unified 17 countries of sales data and cut reporting time by 55%

Replacing 20-day manual spreadsheet cycles with real-time dashboards across every region.

55%
Faster reporting
88%
Trusted datasets
72%
Fewer IT requests
Company size
Large enterprise
Company industry
Consumer Packaged Goods & Retail
About the company

A global dairy cooperative owned by 8,000+ farmers

Arla Foods is a global dairy cooperative owned by over 8,000 farmers across Northern Europe. As one of the world's largest dairy producers, Arla operates in more than 30 countries, supplying a wide range of dairy products to consumers worldwide.

The company places strong emphasis on innovation, sustainability, and data-driven decision-making to maintain its competitive edge in the fast-moving consumer goods sector.

The challenge

Streamlining disparate sales data across 17 countries

Arla Foods needed to unify its sales reporting across 17 countries, but faced major obstacles. Each region had its own reporting format, resulting in inconsistent, unstructured data.

The central analytics team had to manually process over a billion rows of data each month, relying on static spreadsheets that took up to 20 days to prepare. This made performance tracking slow, siloed, and reactive — limiting Arla's ability to make timely business decisions.

The solution

Implementing a unified data platform

With Mammoth, Arla Foods was able to bring every region's data into one consistent, automated workflow:

  • Automate the ingestion and standardisation of sales data across all regions
  • Transform data into a single, consistent format, enabling real-time analysis
  • Deploy interactive Power BI dashboards accessible throughout the organisation
  • Eliminate delays and inefficiencies caused by manual reporting processes
The outcome

Real-time, scalable insights — without IT in the loop

  • 1.4x increase in ROI from streamlined data operations
  • Zero IT hours required to generate and maintain reports
  • Real-time, unified dashboards accessible across multiple regions
  • Stronger alignment and faster decision-making across departments

It is truly an end-to-end solution — seriously impressive.

David Blackshaw
Arla Foods
The transformation · From 17 chaotic spreadsheets to one source of truth
BEFORE AFTER 17 disconnected spreadsheets · 20-day cycle One unified dashboard · real-time FR_sales_Q3_v4_FINAL.xlsx Sheet1 Pivot RAW #REF! UK_data_NEW(2).csv CSV Data Calc 2,481 3,920 12.4%8.1% #N/A DE_SAP_export_07.json JSON Jan Feb Mar Apr May Jun Jul ... { "country": "DE", "period": "2025-Q3", "revenue": 481239, "units": null, "region_code": "EU-W", "currency": "EUR", "sync_status": "error", } ! DK_sales_master_FINAL_v12.xlsx XLSX 2024 2025 Pivot Macro Old DKK94,210+4.2% DKK88,012+3.1% DKK102,481+6.7% #VALUE! SE_regional_sales.xlsx XLSX DK DE UK SE NO FI NL BE +9 ... Country Revenue Growth Status SESEK 481k+5.4% DKDKK 94k+4.2% DEEUR 481k+3.1% UKGBP 312k+6.7% NONOK 218k+2.9% FIEUR 142k+4.1% 5 currencies · mismatch MAMMOTH Arla · Global sales · Q3 2026 LIVE TOTAL REVENUE €2.4B 12.4% YoY COUNTRIES 17 all unified, all live REPORTING CYCLE Real-time −55% time REVENUE TREND · 12 MONTHS JAN APR JUL OCT DEC TOP REGIONS DK DKK 481k DE EUR 412k UK GBP 312k 17 disparate formats · 1B+ rows monthly · 20-day cycles · constant errors One source of truth · real-time · self-serve across every region

The Mammoth advantage

Why Mammoth worked for Arla

Three things made the difference — and they're the same three things every team tells us about.

Efficiency

Automated data processes replaced weeks of manual spreadsheet work — reporting cycles dropped from 20 days to real-time.

Scalability

Handled vast data volumes seamlessly — over a billion rows a month across 17 countries, without breaking the workflow.

Accessibility

Real-time insights for every team — no SQL, no IT tickets. Regional teams self-serve the dashboards they need.