Big Data – Retail



A large European Retailer had data marts spread across different countries, hence it was difficult to get a single view of business. Retailers wanted to build single scalable platform so as to


  • A single view of the business by mapping all diverse data to a single structure
  • Data capture using Apache Kafka
  • Added semi­structured source like transaction logs, clickstream data to analyse with existing data
  • Scalable, Fault-­tolerant architecture
  • Reduced ETL time
When an item goes on sale, let retailers know about adjacent products that benefit from a sales increase as well
Implemented real­time dashboards using HBase to understand performance of region/country/store
Analysis of clickstream data and uncommitted transaction logs data to improve customer retention programme, marketing/promotion programme
Forecasting of products in 24 hours cycle instead of weekly cycle.

Value to Customer