Human Capital Systems, Analytics, and Data Mining
1st Edition
Published on 22. August 2018
Book
Hardback
294 pages
978-1-4987-6478-0 (ISBN)
Description
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 Management 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.
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.
Reviews / Votes
Use the data, or ignore it at your peril. In 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
More details
Series
Language
English
Place of publication
Boca Raton
United States
Publishing group
Taylor & Francis Inc
Target group
Professional and scholarly
Professional Practice & Development
Illustrations
231 s/w Abbildungen, 46 s/w Tabellen
46 Tables, black and white; 231 Illustrations, black and white
Dimensions
Height: 254 mm
Width: 178 mm
Weight
726 gr
ISBN-13
978-1-4987-6478-0 (9781498764780)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Robert C. Hughes
Human Capital Systems, Analytics, and Data Mining
Book
06/2020
1st Edition
Chapman & Hall/CRC
€67.60
Shipment within 15-20 days
Robert C. Hughes
Human Capital Systems, Analytics, and Data Mining
E-Book
09/2018
1st Edition
Chapman & Hall/CRC
€63.49
Available for download
Robert C. Hughes
Human Capital Systems, Analytics, and Data Mining
E-Book
09/2018
1st Edition
Chapman & Hall/CRC
€63.49
Available for download
Person
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.
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.
Content
1. Human Capital Management Systems 2. Human Capital Management System Components 3. Database Systems, Concepts and Design 4. Dimensional Modeling 5. Reporting and Analytics with Multidimensional and Relational Databases 6. Online Analytical Processing and the OLAP Cube Multidimensional Database 7. Multidimensional OLAP Database Project with SQL Server Analytical Services 8. Multidimensional Cube Analysis with Microsoft Excel and SQL Server Analysis Services 9. Data Mining 10. Project Management 11. Appendix A SQL Data Types 12. Appendix B SQL Database and Analysis Server Database Scripts 13. Appendix C Microsoft SQL Server Analytics Services Aggregation Options 14. Appendix D U. S. CDC Project Charter Template 15. Appendix E Sample HCMS Request for Information 16. Appendix F Human Capital Management System Request for Proposal (RFP) 17. Appendix G Sample HCMS Project Plan