The Big Data Challenges Case Study Example | Topics and Well Written Essays - 500 words

The Big Data Challenges - Case Study Exampleral platform referred to as data ware house that helps integrate data from different sources much(prenominal) as customers and dealers to name just but a few (Strader, 2011). The CIO chair at Volvo asserted that, by dint of the establishment of a central platform, the company washstand be able to prevent potential losses and inherent risk that might occur in the future (Strader, 2011).The corporation captures data from vehicles sold to their customers through sensors and central bear upon units installed during car manufacturing (Strader, 2011). The data captured is then used to make necessary improvements on the model vehicles being manufactured (Verganti, 2009).This improvement has not and helped to meet customer satisfactions but also has helped to prevent mechanical problems that might occur in the future (Strader, 2011).Real time schooling systems are information processing system responsive systems that help to detect and give out responses after updating the computer master files with the detected information (Chaki, Nabendu & Cortesi, 2011). For instance, Volvo Corporation installed their vehicles with numerous sensors and central processing units in order to detect information about the performance of the vehicles when the vehicle is in the hands of a customer (Strader, 2011). Whereby, any impending mechanical problems or threat detected is sent back to Volvo Corporation and necessary improvements are made thereafter (Chaki, Nabendu & Cortesi, 2011).In above connection, the implementation of real time information system has enabled the corporation to make continuous quality improvements on the quality of vehicles manufactured (Strader, 2011). This in turn has increased customer satisfactions by responding accordingly to customers necessarily through utilization of real time information (Chaki, Nabendu & Cortesi, 2011).The company utilizes big data strategy to identify any potential flows that may occu r in the future and provide a remedy to the problem before it happens (Strader, 2011). This