INVOLUNTARY DECISION MAKING THROUGH BIG DATA ANALYTICS FOR MULTICHANNEL RETAILERS

Abstract

To compete in a consumer-empowered economy, it is increasingly clear that retailers must leverage their information assets to gain a comprehensive understanding of markets, customers, products, distribution locations, competitors and employees. Big Data allows retail merchandisers, marketers and customer relationship management professionals to create a highly specific and personal segmentation of consumers. This allows retailers to tailor products, offers and services to specific consumers. To apply big data analytics in multichannel retailers business domain allows retailers to provide loyalty cards, offers, and services to each and every customer, it improves revenue of retailers and customer satisfaction. HDFS provides a level of fault tolerance through data replication and R helps to prove the statistical computation and graphics.