Statistics for Compensation: A Practical Guide to Compensation Analysis / Edition 1

Statistics for Compensation: A Practical Guide to Compensation Analysis / Edition 1

by John H. Davis
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Statistics for Compensation: A Practical Guide to Compensation Analysis 5 out of 5 based on 0 ratings. 2 reviews.
RY_MBA-CCP More than 1 year ago
If you are striving to gain a sound fundamental understanding on relevant compensation analyses or if you are laboring with performing comprehensive analyses to uncover pay inequities amongst your company employees... I believe that you will find this book to be instrumental, with a hands-on, insightful focus on the statistical methods that will enlighten even the most tenured compensation practitioners. I am a Certified Compensation Professional (CCP), and Compensation Manager for a publicly-traded Fortune 500 company; I have found this book to be an all-inclusive, highly useful desk reference for today’s compensation practitioner. It certainly has been extremely valuable in helping me to contribute in successful strategic business decisions. This book provides easy to follow instructions for statistical techniques and knowledge to anyone seeking to execute as a bona fide "Analyst". The content of this reference aid provides today's compensation analysts and other analytical professionals, the “how to” source in producing relevant analytical information and to play an active role for better strategic decision-making. Analyses that answer questions such as, "What is our market position?", “What should our salary increase budget be the next three years?” etc., are given in this text with step-by-step detailed approaches. If you have an analytical need and you are unclear on how to execute, I urge you to source John Davis' “Statistics for Compensation: A Practical Guide to Compensation Analysis”... more times than not, this book has saved me time by having the answer, with most times, an alternative insight that I had not considered. The book’s content has consistently prompted me to try alternative statistical methods that have proven value-added and essential in decision-making, both strategic and tactical.
Anonymous More than 1 year ago