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Data Analytics And The Retail Industry

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Data Analytics and the Retail Industry In order for a business to maintain a competitive edge, they need to be able to understand in real time the needs of their customer base. With the advancement of social media, information that once was a trickle has now become a flood and businesses who want to remain competitive must be able to capitalize on information quickly. By analyzing data, businesses are better able to directly focus their marketing efforts and prices to gain their customers notice and stay ahead of their competitors (Savitz, 2012). Data Analytics Defined The data analytic process is one in which a large amount of information is collected using software specifically geared towards collecting, identifying and storing information for use by the company. The information is gleaned from different forums, with social media being the most rich and useful. The information is then quickly sorted and organized for use by the collecting agency (Turban, Volonino, Wood, & Sipior, 2002, p. 6). The use of data analytics really took flight in 2010 when different companies offered software that enabled a company to implement their own data analytics. This led to better marketing campaigns, improved customer relations and it gave companies using the software a bigger advantage over their competitors (Savitz, 2012). The retail industry has seen an increase in revenue as a result of their use of data analytics. The department store, Macy’s, implemented the use and

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