Case Study: X5 Retail Group achieves improved logistics, optimized merchandising and reliable reporting with Ataccama ONE

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Preview of the X5 Retail Group Case Study

Improved logistics and optimized merchandizing

X5 Retail Group struggled with unreliable master data that caused several business initiatives to fail and blocked improvements in sales, logistics, merchandising and online product information. To address this, X5 selected Ataccama and its Ataccama ONE platform for in-place data lake processing with Spark and a comprehensive data quality (DQ) solution.

Ataccama deployed Ataccama ONE as an ETL, DQ and address-validation platform, running Spark jobs on the data lake, reusing configurations to scale, and piloting Kafka for real-time cash-desk data. The solution enabled 1.5 billion records to be checked in 99 seconds (2x faster than Apache Tez), 250 Ataccama jobs per day, a 64 million-record address lookup serving real-time queries, 50 GB/day ETL to ERP, and address validation used by 30+ business development specialists—delivering reliable master data and measurable improvements in reporting and decision making.


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