In the relentless pursuit of competitive advantage, companies have adopted data driven decision making in a big way. A big manifestation of this is the proliferation of predictive models that are being deployed to lift business outcomes in a whole host of applications.
These range from trying to understand customers, segmentation and targeting, propensity to buy, forecasting, etc. etc. A typical firm would use 20 – 400+ models depending on portfolio size, number of products and analytics maturity.