Data mining is a thing of the past; today, business entities need real-time access to customer and business related information, in order to take early and better decision. Predictive analytics in banking sector is a new technology to derive customer insights. Predictive analysis tools are used by banks to arrive at data driven logical conclusions to provide better and personalized customer experience. It helps in risk assessment and regulatory management of the financial institutions as well as assists in customer relationship management (CRM). Research Beam Model: Research Beam Product ID: 20966 5370 USD New
Predictive Analytics in Banking Market - Size, Share, Trends and Forecast 2012 - 2020

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Global Predictive Analytics in Banking Market - Size, Share, Trends and Forecast 2012 - 2020

 
  • Category : BFSI
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Data mining is a thing of the past; today, business entities need real-time access to customer and business related information, in order to take early and better decision. Predictive analytics in banking sector is a new technology to derive customer insights. Predictive analysis tools are used by banks to arrive at data driven logical conclusions to provide better and personalized customer experience. It helps in risk assessment and regulatory management of the financial institutions as well as assists in customer relationship management (CRM). Credit card companies might use predictive analysis to set credit lines for specific customers. Insurance companies can use predictive analytics to set premium amounts. Government agencies can use the system to curb fraudulent activities. Fraud detection ability and risk assessment through predictive analytics provides a strong base to this market. However, possibility of inaccurate analysis can be an issue that might restrict the market.