big Data, Big Rewards

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big data big rewards

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<p>BIG DATA, BIG REWARDS</p> <p>BIG DATA, BIG REWARDSSAMIHAH BINTI AHMEDALIAA BINTI MOHAMAD ZIYADI1. Describe the kinds of big data collected by the organizations described in this case. There are mainly three kinds of big data collected by the organizations described in this case :</p> <p>IBM Bigsheets help the British Library to handle with huge quantities of data and extract the useful knowledge. State and federal law enforcement agencies are analyzing big data to discover hidden patterns in criminal activity. The Real Time Crime Center data warehouse contains millions of data points on city crime and criminals.Vestas implemented a solution consisting of IBM InfoSphere BigInsights software running on a high-performance IBM System x iDataPlex server.</p> <p>2. List and describe the business intelligence technologies described in this case.IBM Bigsheets is an insight engine that helps extract, annotate, and visually analyze vast amounts of unstructured Web data, delivering the results via a Web browser.</p> <p> State and federal law enforcement agencies are analyzing big data to discover hidden patterns in criminal activity such as correlations between time, opportunity, and organizations, or non-obvious relationships between individuals and criminal organizations that would be difficult to uncover in smaller data sets. The Real Time Crime Center data warehouse contains millions of data points on city crime and criminals. Vestas relies on location-based data to determine the best spots to install their turbines. It implemented a solution consisting of IBM InfoSphere BigInsights software running on a high-performance IBM System x iDataPlex server.</p> <p>3. Why did the companies described in this case need to maintain and analyze big data? What business benefits did they obtain?Traditional data management methods proved inadequate to archive millions of these Web pages, and legacy analytics tools could not extract useful knowledge from such quantities of data.</p> <p>Law enforcement agencies can become more proactive in its efforts to fight crime patterns since information of suspects can be visualized in seconds on a video wall instantly relayed to officers at a crime scene. Vestas relies on location based data to determine the best spots to install their turbines. If there is no data available, it is difficult to accurately place its turbines for optimal wind power generation.4. Identify three decisions that were improved by using big data.Analyze consumer sentiment. For example, car rental giant Hertz gathers data 5. What kinds of organizations are most likely to need big data management and analytical tools? Why?</p>