The retail industry continues to accelerate rapidly, and with it comes the necessity to perform advanced analytics on big data. Sales alone are expected to grow by 3.5 percent in 2017, and e-commerce continues to make massive strides with an expected growth of 15 percent (Kiplinger, 2017). Data from log files and transaction information to sensor data and social media metrics, present new opportunities for retail organizations to achieve unprecedented value and competitive advantage in an expanding industry space.

Big data can help retailers understand customers well and make effective decisions that can improve operating margins by 60%. In a survey of retail executives conducted by JDA Software Group and PricewaterhouseCoopers (PwC), 86% of the retail executives interviewed said they plan to increase investments in big data tools over the years.

Data in retail businesses assist to improve customer experience, gain better customer understanding, give insight into certain buying patterns and behaviors, refine process efficiencies, measure customer loyalty programs and campaign effectiveness, etc.

As retail business takes a turn for omni-channel operations, it is important to understand consumer behavior across different channels. Customers interact with brands via brick-and-mortar stores, e-Commerce, social media, and websites.

DataKare Solutions has the expertise to transform your retail data to achieve a significant competitive advantage through advanced analytics, data mining, and integration. We can help retailers connect with customers at every stage of the product lifecycle by turning the patterns into valuable insights that describe, predict, and improve business performance. This is achieved by using the latest big data technologies stack to build a data pipeline and an analytical engine in distributed parallel environments like Apache Hadoop, NOSQL database, Apache Kafka environment.