Predictive models have been in use since advent of various statistical tools. Both marketing and financial institution uses it extensively. This article tries to look under the hood how a predictive model is created. I will try explaining it using simplest available statistical tool like Trend analysis , Univariate Analysis and slightly complex tool called Binomial Logistic Regression . Lets assume company want to know how much attrition will happen in current quarter, so that it can start hiring process. First step of model is find out what are the factors that can lead to attrition of an employee. To find these factors we simple take past data and holistic list of factors. Age, Income, Martial Status, Education Background, Work Rating, Number of leaves, Number of days came later than usual timing, Number of year in company, Business Unit, Business vertical, Past Work experience Indicative list of factors for Company Attrition Model On each list...
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