Human Capital Systems, Analytics, and Data Mining

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A01=Robert C. Hughes
advanced human resource analytics
Author_Robert C. Hughes
Battery Park City Authority
big data
Category=KJMV2
Category=PBT
Category=UN
Comparable Worth
compensation modelling
Cube Structure
data architecture
data mining software
dimensional modelling
eq_bestseller
eq_business-finance-law
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Excel Pivot Tables
Foreign Key
Gap Analysis
graduate level resource
GS Grade
HCMS
Human Capital Management
human resources
Job Family
knowledge discovery
machine learning
occupational mobility
OLAP Cube
OLAP Database
Oracle SQL Developer
pay equity research
Pay Grades
Pivot Table
RDMS Software
RDMS Vendor
Salary Grade
SQL Code
SQL Server
SQL Server Database
SQL Server Instance
SQL Server Management Studio
Star Schema
Visual Studio
workforce analytics

Product details

  • ISBN 9780367571214
  • Weight: 540g
  • Dimensions: 178 x 254mm
  • Publication Date: 30 Jun 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.

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.

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