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DSO 510 Data Analytics at Walmart

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Analytics @ Walmart Priyank Bhavsar DSO 510 Background • More than 245 million customers visiting 10,900 stores and with 10 active websites across the globe. • Walmart sees close to 300,000 social mentions every week • 2 million associates and approximately half a million associates hired every year • It takes in approximately $36 million dollars from across 4300 US stores everyday. 2 Data Analytics @Walmart • American multinational retail giant Walmart collects 2.5 petabytes of unstructured data from 1 million customers every hour. • Walmart was the world’s largest retailer in 2014 in terms of revenue. Walmart makes $36 million dollars from across 4300 retail stores in US, daily and employs close to 2 million people. • The main objective of leveraging big data at Walmart is to optimize the shopping experience of customers when they are in a Walmart store, or browsing the Walmart website • The predictive technology platform pulls data from diverse sources and helps Walmart improve personalization through data analytics. • The big data ecosystem at Walmart processes multiple Terabytes of new data and petabytes of historical data every day. • The analysis covers millions of products and 100’s of millions customers from different sources. • The analytics systems at Walmart analyse close to 100 million keywords on daily basis to optimize the bidding of each keyword. 3 Tech Architecture and Online Marketing Ecosystem 4 How Walmart is tracking ...
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