Thomas H. Davenport's article on predictive analytics emphasizes using historical data to forecast the future, highlighting that poor data quality is a major hurdle for organizations. It discusses regression analysis as a key tool for assessing relationships between variables and warns that assumptions based on past data can become invalid over time. Managers are encouraged to critically evaluate the data sources, sample representation, outliers, and the assumptions underlying predictive models.