Human Capital Systems, Analytics, and Data Mining by Robert C Hughes

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Summary

This book is designed both as a text for graduate level courses in human resource systems, human capital analytics, and data mining as well as a resource for human capital professionals in all areas of human capital management. New Gender Based Pay Equity Research through the lens of Comparable Worth and Occupational Mobility are included.<

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Human Capital Systems, Analytics, and Data Mining by Robert C Hughes

This book is designed both as a text for graduate level courses in human resource systems, human capital analytics, and data mining as well as a resource for human capital professionals in all areas of human capital management. New Gender Based Pay Equity Research through the lens of Comparable Worth and Occupational Mobility are included.

Use the data, or ignore it at your perilIn the times we now live in, no company is without relevant, useful, actionable data on how we are performing, our staff, our suppliers, and many many more aspects of our businesses. If you don’t effectively monitor, analyse and interpret this data, then you are leaving yourself open to being overtaken by your rivals, who, you can be sure, are doing exactly this.

This book thoroughly and methodically takes you through a series of ways in which you can, and should be using this data to your advantage. We’ve heard all the cliches and truisms about data being the new oil, but unless you know how to use it, then it could just be a meaningless pool of ones and zeroes to you. With a series of comprehensive and informative screenshots this book takes you through many areas in which the data can provide invaluable insights. It will be interesting to see if they decide to release video tutorials to accompany this book and the various chapters that they cover.

This book seems to be a clear example that data analysts are becoming more and more important as so much of our working lives becomes digitised and leaving a digital footprint. A useful tool for those working at the coalface in this sector.

-Simon Cocking, Irish Tech News

Robert C. Hughes, MS, has over 40 years of experience in Human Capital Management

and Information Systems that includes internal and external consulting engagements

in Compensation Planning and Human Capital Management Information Systems.

Mr. Hughes is currently an Adjunct Professor in the Ageno School of Business at Golden

Gate University in San Francisco.

Mr. Hughes has taught courses in Compensation, Management Information Systems,

Data Warehousing, Business Intelligence and Predictive Analytics, and Human Resource

Management Information Systems at colleges and universities around the San Francisco

Bay Area, including Golden Gate University; University of San Francisco; Sonoma State

University; Chapman University; University of California Berkeley Extension; and

California State University, East Bay.

Mr. Hughes has developed innovative and cost-effective Compensation and Human

Capital Management Systems internally and commercially and has been instrumental in

consulting with management in charting Corporate Level Human Capital Compensation

and Management System strategies and large HCMS projects. Commercial Compensation

Systems developed by Mr. Hughes have been marketed successfully in the United States,

Europe, and the Middle East.

Mr. Hughes was awarded the Lifetime Achievement Award in Compensation in May

2000 from World at Work (formerly American Compensation Association). Previous published

works include Evaluation of Salary Survey Sources: A Comparative Approach, Fall

1986, Compensation and Benefits Management Journal.

SKU Unavailable
ISBN 13 9780367571214
ISBN 10 0367571218
Title Human Capital Systems, Analytics, and Data Mining
Author Robert C Hughes
Series Chapman And Hall Crc Data Mining And Knowledge Discovery Series
Condition Unavailable
Binding Type Paperback
Publisher Routledge
Year published 2020-06-30
Number of pages 272
Cover note Book picture is for illustrative purposes only, actual binding, cover or edition may vary.