To better understand the value of big data analytics in the retail industry, let’s take a look at the following five use cases, which are currently in production in various leading retail companies. 1. Customer Behavior Analytics for Retail Deeper, data-driven customer insights are critical to tackling challenges like improving customer conversion rates, personalizing campaigns to increase revenue, predicting and avoiding customer churn, and lowering customer acquisition costs. But consumers today interact with companies through multiple interaction points — mobile, social media, stores, e-commerce sites and more. This dramatically increases the complexity and variety of data types you have to aggregate and analyze. When all of this data is aggregated and analyzed together, it can yield insights you never had before — for example, who are your high-value customers, what motivates them to buy more, how do they behave, and how and when is it best reach them? Armed with these insi...