SummaryThe case provides an analysis of the advantages and disadvantages associated with the use of Big Data in organizations. It achieves this through analysis of organizations such as Google, AutoZone, Hertz, Vestas and the Real Time Crime Center, which have used in the past and currently use Big Data in business decision-making. It describes each company's data sources, after which it examines how companies used the data, the results and the benefits derived from their use. Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get an Original Essay For Every Business, it also provides an overview of some of the business intelligence tools that collectively improve the effectiveness of Big Data in decision making. Nevertheless, the case also addresses some of the limits and conditions under which big data should be integrated into the operations of any company. The organizations described in the case collect social media data, searches, sensors and location data. Specifically, the Real Time Crime Center in New York collects crime data, which is a collection of criminal records and criminal information. Data is obtained from various databases enabled by the NYPD search system. Vestas, a global wind energy company, collects location and sensor data from global weather systems and its existing wind turbines to improve the location of its wind turbines and generate a better understanding of network patterns. Other companies like AutoZone and Sears collect customer feedback data. AutoZone uses the data to adjust product and inventory prices, while Sears uses it to facilitate product promotions, merchandising and sales. Similarly, Hertz, a car rental giant, also generates its big data based on customer feedback. Google, on the other hand, collects its big data based on its users' queries. The Real Time Crime Center in New York uses an intelligent search system capable of accurately deriving criminal information and criminal records from various databases. Vestas also uses InfoSphereBigInsights, capable of analyzing and visualizing big data in the analysis of collected weather and location data. Another system described in the case is NuoDB's software that AutoZone uses to analyze big data collected from various databases. The system uses cloud-based services in its analysis. Another intelligent corporate system described in the case, although in great detail, is a system developed by Google to determine the number of people infected with the flu. The system used an algorithm that could use web searches to calculate the number of infected people by linking flu-related queries to location information. New York's Real Time Crime Center needed to facilitate access and ensure the accuracy of criminal records ("Does Big Data Bring Big Rewards?", 2015). As a result, the center can now access criminal information, criminal records and visualize the information in short time frames Vestas, on the other hand, needed to increase the accuracy of turbine placement, hence the need for big data analysis Therefore, it expanded its wind library and can. now more accurately analyze and manage locations and data.