Retail/Buyer Analytics for Online Shoppers

In recent times as the power has shifted to customers, the shopping experience has changed greatly. Even while walking on the streets shoppers can search and compare products from any device. They can easily share their reviews on vendors and products they are using through social media sites and can create an impression about the product on other prospective customers. Retailers need to use new ideas to draw attention of the customers to face this new multi-channel environment. Hadoop and Big data allows vendors to associate with customers using various channels at a new level by controlling the enormous size of new data available today. The MapReduce(MapR) Distribution for Apache Hadoop helps retailers save, combine and examine a wide range of online and offline consumers data�online transactions, mouse click data, email, social sites and call centre records�everything in a central database. Retailers can examine this data to generate report on individual consumer nature and preferences, and based on the report retailers can offer personalized recommendations in real time.