Human Capital Systems, Analytics and Data Mining
ISBN 9781498764780 - CAT# K29042


A Practical Guide for Human Capital Practitioners with Pay Equity and Job Mobility Research Based on Jobs of Comparable Worth. Extensive Tutorials throughout on Database Design, Analytics, Data Mining and Dashboards

New Pay Gap Research Findings: Discover Gender Pay Gap Truths and Fictions
Includes the Most Comprehensive Gender Based Pay Equity Research in over 40 Years

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Publisher Book Site CRC Press/Taylor and Francis

In-Depth HCM Analytics and Data Mining that includes Ground Breaking Gender Based Pay Equity and Occupational Mobility Research based on Comparable Worth Analysis.

New Revolutionary Findings dispel several Pay Gap Myths and reveal the true facts behind Occupational Based Gender Pay Differences.

This book effectively bridges the gap between the Human Capital Management Professional and the Data Scientist. It fills a large void with respect to Human Capital Systems, Analytics and Data Mining. Human Capital Systems, Analytics, and Data Mining provides human capital professionals, researchers, and students with a comprehensive and portable guide to human capital systems, analytics and data mining. The main purpose of this book is to provide a rich tool set of methods and tutorials for Human Capital Systems (HCMS) database modeling, analytics, interactive dashboards, and data mining that is independent of any human capital software vendor offerings and is equally usable and portable among both commercial and internally developed HCMS.

The book begins with an overview of HCMS, including coverage of human resource systems history and current HCMS Computing Environments. It next explores relational and dimensional database management concepts and principles. HCMS Instructional databases developed by the Author for use in Graduate Level HCMS and Compensation Courses are used for database modeling and dashboard design exercises.

Exciting knowledge discovery and research Tutorials and Exercises using Online Analytical Processing (OLAP) and data mining tools through replication of actual original pay equity research by the author are included. New findings concerning Gender Based Pay Equity Research through the lens Comparable Worth and Occupational Mobility are covered extensively in Human Capital Metrics, Analytics and Data Mining Chapters.

Book Preface

Recommend the Human Capital Systems, Analytics and Data Mining Book to a Libriarian

New Pay Equity Research Findings

  • Based on Comparable Worth Females Actually Earn Slightly More than Males in the vast majority of Jobs from Entry Level up to Lower Management
  • Males Earn More than Females in the Highest Job Levels (Glass Ceiling Effect)
  • Females typically have Lower Starting Salaries than Males resulting in Females Taking longer to reach upper Pay Grade Levels.
  • Both Males and Females have lower Pay Progression above age 40.

Book Resources for Instructors, HCM Professionals and Students

For Both Faculty Only and Student Resources visit the CRC Taylor and Francis Publisher site after the book has been acquired..

Certain Book Updates are included in - WorldatWork Journal Article: Gender-Based Pay Equity Differences and Upward Occupational Mobility Through the Lens of Comparable Worth

A copy of the Journal Article in PDF format can be downloaded here.

Libraries where Human Capital Systems, Analytics and Data Mining Book can be found

Recommend the Human Capital Systems, Analytics and Data Mining Book to a Libriarian

HCM Professional and Student Download Resources

File Download Instructions

Installation of files available for download should be done only after first reviewing carefully the download instructions for each file in the Book.

Current backups should be made for any existing databases, data models and other files before attempting installation of any new databases or data models or other files available for download from the book resource site(s).

All files are Copright (c) 2018-2024 Robert C. Hughes M.S. All Rights Reserved World Wide



Copyright © 2016 - 2024 Robert C Hughes M.S.
All Rights Reserved World Wide