Big Data Analytics Assignment Sample
Added on 2021-06-17
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Running head: ANALYSIS OF CASE STUDYANALYSIS OF CASE STUDY Name of the Student Name of the University Author Note
ANALYSIS OF CASE STUDY1Question 1Big data can be defined as the huge amounts of data that is collected and analysed byvarious organizations for different purposes. The amounts of data that are being maintainedby the modern organizations are quite large in the modern environment. However, this data isused by the companies for the purpose of analysing the various trends in the externalenvironment in an effective manner. Big data is used by the US state and federal law enforcement agencies for discoveringthe patterns that exist in the activities of various criminals. These activities are analysed withthe help of the analysis of correlation with time, the opportunities and the organizations. Thenew tools that are used in this process help the organization in analysing the data from a hugerange of sources which include the information that is collected from the internet. The RealTime Crime Centre data warehouse contains data related to more than 120 million complaintsof the criminals. The search related capabilities of the systems allow the New York PoliceDepartment or the NYPD to obtain the data that they require and take action on these issuesbased on their past crimes and their patterns as well (Laudon & Laudon, 2015). Another organization that uses big data to go green is Vestas. The organization has itsheadquarters in Denmark and is the largest organization which operates in the industry ofwind energy production. The areas where wind is not enough, are not able to generateadequate amounts of electricity. The areas with high amounts of wind can further damage theturbines to a large extent The organization depends on the data related to the location toanalyse the speed of wind in those areas. Vestas is collects data related to the existingturbines and then acts on that accordingly. AutoZone uses big data for the purpose of analysing prices of the products andinventory in its 5000 stores across the world. The data of the customers are used for the
ANALYSIS OF CASE STUDY2purpose of creating deals at local levels. Big data is being used by the organizations toanalyse the sentiments of the various customers (Laudon & Laudon, 2015). Question 2Vestas had implemented a solution to create business intelligence with the help ofIBM InfoSphereBigInsights named software which runs on a high performance basedsoftware named iDataPlex server. This technology has helped Vestas to increase the size ofits wind library so that it is able to manage and then analyse the location and data related toweather which is more precise. The organization can also reduce resolution of the big datagrids by around 90%. The application of business intelligence enables the organization likeHertz to store all the data in a centralised manner to determine the delays that can occur in theoperations. Google had developed a business intelligence algorithm which was able todetermine the number of people who suffered from influenza with the help of web searches(Laudon & Laudon, 2015). Question 3The government agencies like the NYPD was able to gain a lot from the analysis ofbig data which has enabled the organization to increase opportunities related to the analysisof the crime rates and patterns. Vestas on the other hand also benefitted from the analysis ofbig data as it enabled the company to use the location related data to take care of the turbines.AutoZone benefitted from the usage of big data as they were able to adjust and decide theprices of the inventory and the products with the help of this analysis. The sentiment of theconsumers was also analysed in a successful manner with the help of big data that is availablefor analysis. The Sears company was able to analyse the data of the customers with the helpof new technologies. This had helped them in creating loyalty programs for the repeatpurchasers. The organizations that were analysed and discussed in the case study were able to
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