There are about 2 million employees and 20,000 points of sale (Conad, by comparison, is a small family business). It certainly shouldn't surprise you that such a retail giant understood the value of data analysis very early: Walmart employees actually realized earlier than many others that studying data as a whole, rather than separate data sets, could yield unexpected results. In 2012, when the deadly Hurricane Sandy was approaching, Linda Dillman, Walmart's Chief Information Officer, began to study all the data at her disposal to try to predict the demand for emergency supplies when the hurricane arrived.
Looking back, he realized that in addition to flashlights and india email list emergency equipment, the sales of strawberry pop tarts in previous years had increased exponentially, a packaged snack that would make you think of anything except an upcoming cyclone. However, the data clearly showed this: Therefore, the stores were filled with pop tarts and sold out in a very short time. As Naveen Peddamail, senior statistical analyst at Walmart, explains, "Our goal is to get information about our business as quickly as possible so that we can act immediately and eliminate any delays.
We talk about both proactive and reactive analytics." " Moreover, with the help of big data, Walmart employees claim that the average time of their problem-solving process has been reduced from the initial 2-3 weeks to about 20 minutes! Improve your product with data Big data will not allow you to better understand your market and your customers if it is not used in the right way. Reading this data is not the same as reading a newspaper while drinking a cappuccino: therefore, you must learn to capture it, categorize it, compare it over time, analyze and test it, and then take effective action on it.