![]() How then can these industries collect and examine growing volumes and types of data? They need Predictive Analytics Software. Governments also need to analyze trends and behavior patterns to improve service and performance. Health insurance also needs to analyze vast amounts of data to predict claims fraud and to identify clients most at risk to help them find the best interventions. ![]() ![]() Manufacturers need to identify factors that can lead to reduced quality and failures in production, service resources and distribution as well as optimize parts. Retailers need information to determine which products to stock, offers that are most appropriate to customers and the effectiveness of different promotional events. In the oil, gas and utility sector, the industry players need to predict equipment failures and future resource needs. In the financial sector, the financial institutions need to analyze vast amounts of data to detect and measure fraud, increase cross-sell/upsell opportunities and measure credit risk. Historical patterns and information can help different industries predict the likelihood of future occurrences. Organizations need to analyze vast amounts of historical data to get insights that help them make informed decisions and predict future events. ![]()
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