No details, but a good strategy piece on applications of Wal-Mart analytics
Walmart: Harvesting Value from Big Data with Hadoop & NoSQL
by Ellen Friedman
" .... The overall goal is to optimize the shopping experience of Walmart customers while in the store, browsing a website or through mobile devices when they are in motion. The solution has involved redesigning global websites and building innovative applications that personalize customer experience while increasing the efficiency of logistics. What is needed to do this is a large scale system that gives internal customers real time access to data collected from a wide range of sources and centralized for more effective use. That’s where Hadoop and NoSQL technologies come in.
Developers for Walmart have built a variety of innovative applications, including personalized search and targeted recommendations. One useful application is a savings catcher that lets customers scan receipts to see whether they have the best price – if not, an adjustment is made in order to meet the Walmart promise. Another push has been to “mobilize the store”. Each store has its own layout that requires up-to-date information about every item in terms of availability and location. The aim is to bring all this to mobile applications, making shopping easier for Walmart customers. ... "
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