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Using Big Data to Improve Law Enforcement

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Big data technology allows today’s businesses to gather data-based insights and make more informed decisions. For law enforcement agencies, data analytics can help officers lower crime rates and expand social services. Furthermore, big data brings distant communities together, giving municipal officials valuable information on successful protocols. Here are some ways big data can help improve law enforcement and governance.

Prevent fraudulent activities

Fraudulent transactions are costly for consumers and companies; for public officers, they are an unfortunate, common offense. The good news is that big data can help officials pinpoint suspicious activities before they occur. IBM, a leader of big data technologies, explains the how data analytics works to counter fraud: Advanced algorithms are used to characterize and identify risky actions based on past data. Once it spots a potentially fraudulent transaction, it will alert authorities to interrupt the activity, giving security teams ample time to conduct detailed analysis on the event. Finally, machine learning algorithms incorporate that data to enhance its fraud identification system for future frauds. IBM’s fraud detection technology helped a large global money-transfer company stop more than $37 million in fraud.

Similar algorithms and analytics can be applied to address cyber security as well. Experts at Teradata say security …

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