Depending on your industry, predictive analytics software can play a major role in risk reduction. Sectors such as finance and insurance are using predictive modelling to construct an accurate picture of a customer or business, based on all data available. This can then form a more reliable interpretation of that person, business or incident which can be used to make sensible, effective decisions. Predictive analytics is gaining acceptance in many business areas including supply chain risk where it can predict the likelihood of disaster or other events that might cause disruption. Enhanced fraud detection Fraud detection was one of the first use cases where predictive analytics software was applied. As predictive analytics is particularly good at identifying trends and patterns in behavior, it can easily spot anomalies that may indicate threat or fraud, which can then be highlighted and prevented. Insurance fraud is one of the biggest crimes in the US, costing at least $80 billion each year, and predictive analytics tools are now being deployed to better detect and flag fraudulent and duplicate claims. Targeted, personalized marketing campaigns With a predictive analytics platform, an enterprise can get much more value from its customer data. You know who your customers are, where they are and their buying behaviour and preferences. Armed with this information, they can determine customer responses or purchases, as well as promote cross-sell opportunities. The predictive analytics algorithms can more closely target and personalize marketing campaigns helping businesses attract, retain and grow their most profitable customers.Depending on your industry, predictive analytics software can play a major role in risk reduction. Sectors such as finance and insurance are using predictive modelling to construct an accurate picture of a customer or business, based on all data available. This can then form a more reliable interpretation of that person, business or incident which can be used to make sensible, effective decisions. Predictive analytics is gaining acceptance in many business areas including supply chain risk where it can predict the likelihood of disaster or other events that might cause disruption. Enhanced fraud detection Fraud detection was one of the first use cases where predictive analytics software was applied. As predictive analytics is particularly good at identifying trends and patterns in behavior, it can easily spot anomalies that may indicate threat or fraud, which can then be highlighted and prevented. Insurance fraud is one of the biggest crimes in the US, costing at least $80 billion each year, and predictive analytics tools are now being deployed to better detect and flag fraudulent and duplicate claims. Targeted, personalized marketing campaigns With a predictive analytics platform, an enterprise can get much more value from its customer data. You know who your customers are, where they are and their buying behaviour and preferences. Armed with this information, they can determine customer responses or purchases, as well as promote cross-sell opportunities. The predictive analytics algorithms can more closely target and personalize marketing campaigns helping businesses attract, retain and grow their most profitable customers.