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Predictive analytics is increasingly being used in the financial industry to automate processes, improve forecast accuracy, and drive strategic decision-making that enhances business performance. Predictive analytics solutions comb through vast volumes of historical data to identify trends and patterns that can be used to predict future outcomes. This is particularly useful for banks and other financial institutions, which often have large amounts of data that can be mined to predict risk and inform investment decisions. However, the accuracy of predictive analytics models depends on the quality and reliability of the data that they are fed.
