Tuesday, November 29, 2011

Effect of Big Data on Supply Chain Management

Big data are large data sets whose data sizes are a constantly moving target ranging from a few dozen terabytes to many petabytes of data in a single data set. Examples include web logs; RFID; sensor networks; social networks; social data , Internet text and documents; Internet search indexing.

" The main focus on collecting the sales data (Big Data) is to analyze the customer behavior, the big data streaming from the supply chain operations can be leveraged for optimizing processes, automate decision making, and increasing overall efficiencies. Part of this big-data wave is being driven by the RFID tags that are slowly becoming embedded in all parts of supply chain and have moved from pallet-level tagging to item-level tagging and the other big part is the ability to capture, analyze and use the real-time POS data from the stores and other selling-channels. Together, these two data streams can be leveraged to better understand demand and manage inventory, supplies and resources."

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