Data science in business can be applied to a number of industries and problems, to name a few: Forecasting financial data (sales, pricing, investments) Predicting late payments, Forecasting insurance payments, Predicting the risk of default in AR, Predicting customer churn Forecasting time to resolve complaints, Survey weighting, Customer segmentation, Predicting customers at risk for not renewing, Predicting worker attrition rates, Labor and staffing optimization, Modeling to uncover factors and sentiments affecting employee satisfaction, Optimizing employee learning and development, Demand forecasting, Supply chain forecasting to optimize supply and inventory spend, Predictive maintenance, Optimize equipment utilization, Predicting customer defectors after marketing campaigns, Marketing campaign success modeling, Content recommendation engines, Predicting litigation outcomes