Retailers started using analytics to manage their stores and warehouses. They then started using analytics for planning local events and competitor's promotions and campaigns. Through point of sale, they understood individual customers. The only problem they faced was this data was known and analyzed post-sales. Now with mobile commerce, retailers collect and analyze data embedded in mobile devices. So, the challenge shifted from how to collect data, to how to get the user's permission and approval to collect and use the data.  Read more at:  http://it.toolbox.com/blogs/mobile-applications-businesses/mobile-commerce-strategies-contextually-relevant-opportunities-moments-and-environments-69652

Retailers are using analytical tools in order to drive sales. Organizations use tools such as pricing and assortment optimization, location analytics, and customer-driven marketing. Still, many retailers are puzzled to prioritize their analytical approaches. Some companies are astounded by the large number of options they have, while others find it difficult to manage data provided by various point-of-sale systems, websites and other internal transaction processes. Another reason is a lack of skilled analysts which hampers progress. Thomas H. Davenport (Distinguished Professor of Information Technology and Management at Babson College in Massachusetts), writes in his article about the strategies and approaches organizations must follow while choosing their analytical tools. To know more, follow: http://www.teradatamagazine.com/v09n04/Viewpoints/The-potential-of-retail-analytics/