• GDO
  • Case Study

Coop Alleanza 3.0: From fragmented reporting to unified data governance

A leading force in Italian large-scale Retail
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Italy’s largest consumer cooperative, Coop Alleanza 3.0, operates more than 350 stores across eight regions, serving millions of members and customers while promoting a sustainable business model.

Its scale and organisational complexity require agile, powerful tools to turn data into tangible value—every day.

 

The Challenge: data proliferation without control

Coop Alleanza 3.0 was facing a highly fragmented data and reporting environment. Excel-based reports were distributed via email or stored across multiple directories, resulting in duplication, inconsistencies, and a lack of centralised data governance.

At the same time, individual stores were independently producing analyses, creating misaligned performance views across the organisation. The frequent need for IT intervention further increased reporting lead times, limiting agility and slowing down decision-making at both operational and strategic levels.

Advanced and centralised Business Intelligence

To overcome data fragmentation, Coop Alleanza 3.0 partnered with Var Group on a comprehensive Data-Driven Transformation programme, leveraging one of the leading self-service Business Intelligence and data visualisation platforms: Tableau. 

1. ANALYSIS & GOAL DEFINITION

  • Assessment of the existing technology architecture and data management processes
  • Elimination of unstructured, siloed reporting
  • Definition of a single, centralised point of access to information

2. AGILE & SCALABLE IMPLEMENTATION

  • Cleansing and reorganisation of the commercial database
  • Dedicated training programmes for head-office users and store managers
  • Development of more than 50 interactive dashboards, covering sales, customers, members, and private-label products

2. ONGOING SUPPORT AND CONTINUOUS ADAPTATION

  • Continuous monitoring of results and adoption
  • Ongoing evolution of dashboards to meet emerging business needs
  • Integration of external data sources, such as Nielsen data, to enable advanced benchmarking