Retail, Ecommerce & Consumer
Spain
Carrefour Spain stands as one of the leading retail distribution chains in the country, managing an omnichannel infrastructure that integrates over 1,500 physical establishments along with its e-commerce platform. This operational scale involves the continuous generation and processing of massive data volumes, covering critical transactional metrics (sales, inventory management, and logistics) as well as customer behavioral patterns, captured through the Club Carrefour loyalty program and digital interactions. The integration of these heterogeneous data sources, which range from Point-of-Sale (POS) systems and the supply chain to demographic variables and social media analytics, forms a Big Data ecosystem essential for the company's strategic decision-making.
Carrefour’s data ecosystem was fragmented, with critical information dispersed across customer history logs, inventories, sales records, and pricing data. This disconnection, combined with limited computing capacity, restricted analytical visibility to a maximum of six months of historical data. The company was operating with an on-premise data warehouse architecture that lacked scalability, creating operational bottlenecks; in fact, certain complex processes required up to a week to deliver results. On top of that, managing an environment that included hundreds of different applications added an extra layer of complexity to the workflow.
Faced with this scenario, the IT team identified the need to implement a robust platform capable of executing processes over large data volumes. The objective was to establish a system that would function as the company’s analytical core, enabling real-time operations and eliminating data redundancy. After conducting a technical comparison among three market solutions using real-world use cases, the organization selected Cloudera, highlighting its decisive advantage in query speed, integrated security, and management efficiency.
A Data-Centric Model
The implementation of the new architecture has been extended transversally across the entire organization, impacting everything from customer digital interactions to the operational duties of store replenishment staff. This progressive deployment has allowed Carrefour to successfully establish unified master data, ensuring that all internal applications feed from a single, coherent source of information. As is common in processes of this magnitude, they faced a significant organizational change management challenge, given the natural user reluctance to modify established workflows. The crucial aspect of this transformation was the definition of data ownership. Previously, in the former data warehouse environment, the lack of control allowed each user to "customize" their data. The migration to a single, immutable information source, supported by the governance and control capabilities offered by Cloudera, proved fundamental in catalyzing the company's comprehensive transformation. Carrefour currently operates a cluster comprising around 100 nodes. The organization processes 3,200 daily tasks with over 10 million events, managing a total data volume of 8.5TB via 76 streaming processes that service its entire network of stores.
Results: Customer Focus
With this strategy, Carrefour has achieved comprehensive data governance by implementing a unique data catalog per domain, which ensures complete data lineage. Furthermore, analytical self-service has been promoted, allowing users to leverage the information directly with Business Intelligence.
The direct result of this capability has been the advancement toward Machine Learning processes, which currently generate the greatest Return on Investment for the company, with 25 productive algorithms in operation. For the retail sector, hyper-personalization is essential for maintaining competitiveness in the current market. Placing data at the center has allowed Carrefour to develop a customer-centric strategy, granting it the capacity to manage commercial dynamics individually for each consumer. It is now possible to apply advanced analytics to consumption habits and perform real-time data processing. By leveraging historical data with a depth exceeding two years, a significant contrast to the previous six months, they are developing predictive analyses that greatly enhance the purchasing experience.
Moving forward, the organization plans to advance along three key strategic lines:
Consolidation of the transformation. There are business units, such as finance or properties management, that have not yet reached the digital maturity level of the retail sector. The goal is to replicate this success across other business units within the company.
Scaling data governance and culture. Carrefour aims for the data culture to be effectively integrated across the entire workforce, fostering the analytical autonomy necessary for data-driven decision-making.
Sustainable growth based on value. The company is defining which data has sufficient value to be integrated into the cluster and which historical information is truly useful, thereby ensuring that operational costs remain controlled and a clear, measurable ROI is obtained from the investment.
This strategic leap has not only improved the customer experience and operational efficiency but also transformed Carrefour from an operation with segmented data into a data-driven organization, unlocking predictive analysis and hyper-personalization capabilities.
Story developed in March 2026
