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Predictive HR Analytics
Paperback
Business GeneralManagementGeneral Mathematics
ISBN13: 9781790406371
Publisher: Independently Published
Published: Nov 27 2018
Pages: 426
Weight: 1.37
Height: 0.95 Width: 6.00 Depth: 9.00
Language: English
This is the only book that teaches you Predictive Analytics using Excel (which you already have)! This book not only share with you the analytics findings of other companies, but also teaches you how to derive it by yourself. It covers the ARHAT Predictive HR Analytics framework, teaches you data-storytelling & data-visualization techniques, and teaches you how to use Excel's statistical tools (Decision trees, Correlation, Multiple Regression, Logistic Regression, Chi-Square) with step-by-step print-screen instructions.
(1) Predict who are the people at risk of leaving using Decision tree, Correlation, Excel Logistic Regression, etc. (e.g. employee aged 30, who stays more than xx km from the company, who is rated average for performance, has a 90% probability of resigning in her 3rd year.).
(2) Identify where the best people come from and how successful a candidate will be if hired using simple correlation (E.g. Customer Service staff and Sales staff with x & y personality traits are likely to be good performers if hired).
(3) Predict impact of Employee Engagement on customer satisfaction, revenue and Shareholder Returns, etc. using Excel Multiple Regression. (e.g. 1% increase in employee engagement leads to $100k increase in company revenue, 2% increase in customer satisfaction, 1% increase in Shareholders return, 1-day reduction in average sick leave, etc.).
(4) Predict financial impact of training using Excel Multiple Regression (e.g. training satisfaction rating of xx leads to $y increase in company revenue).
(5) Predict Diversity & Inclusion's impact on revenue and EBIT (e.g. convert your company's ethnic diversity mix to an index number, then use Excel Multiple Regression to predict if your company's diversity Index is x your company's Sales will be $y and EBIT will be z%).
(6) Predict employee absenteeism and accident, using Chi-Square.
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