9 Ways Retailers Are Using Big Data and Hadoop

The big data revolution is changing how business gets done in all industries. That includes the massive retail market, which drives $2.6 trillion in business in the U.S. and employs 42 million Americans. The use of advanced analytics and predictive modeling is changing the face of retail, and helping us all get what we want, when we want it. Here are 9 ways retailers are using big data technology to create an advantage in the retail sector. 1. Recommendation Engines This is one of the classic use cases of big data tech in retail (albiet mostly in ecommerce settings). Based on a customer’s purchase history, and the histories of others like him, what is that customer likely to purchase next? By training machine learning models on historical data, the savvy…


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