Case Study: Babou achieves near-real-time, data-driven decision-making with Talend Big Data

Leveraging big data to make better decisions faster

Babou, France’s leading discount retailer with 94 stores and rapid expansion, faced a challenge: barcode and loyalty programs generated massive volumes of data (hundreds of thousands of transactions and millions of customer interactions) that remained largely unused. The company needed a mobile, user-friendly decision-making solution to turn operational, sales and inventory data into timely, actionable insights for managers and store teams.

Babou deployed Talend Big Data on a Hadoop cluster to build a unified reporting platform and created 15 dashboards that deliver near‑real‑time (H+2) metrics to decision-makers. The solution — using Talend’s connectors and ETL capabilities — powers cross‑channel reports (including an 11‑category comparison of website visits vs. store sales), automated SMS/HTML distribution, and feeds from 650,000 monthly card transactions, enabling faster, more precise operational and strategic decisions and new analytics like weather and geolocation tests.

Babou

David Legeay

Director of Information Systems