Human capital systems, analytics, and data mining
Author(s)
Bibliographic Information
Human capital systems, analytics, and data mining
(Chapman & Hall/CRC data mining and knowledge discovery series)(A Chapman & Hall book)
CRC Press, 2019
- : hardback
Available at 4 libraries
  Aomori
  Iwate
  Miyagi
  Akita
  Yamagata
  Fukushima
  Ibaraki
  Tochigi
  Gunma
  Saitama
  Chiba
  Tokyo
  Kanagawa
  Niigata
  Toyama
  Ishikawa
  Fukui
  Yamanashi
  Nagano
  Gifu
  Shizuoka
  Aichi
  Mie
  Shiga
  Kyoto
  Osaka
  Hyogo
  Nara
  Wakayama
  Tottori
  Shimane
  Okayama
  Hiroshima
  Yamaguchi
  Tokushima
  Kagawa
  Ehime
  Kochi
  Fukuoka
  Saga
  Nagasaki
  Kumamoto
  Oita
  Miyazaki
  Kagoshima
  Okinawa
  Korea
  China
  Thailand
  United Kingdom
  Germany
  Switzerland
  France
  Belgium
  Netherlands
  Sweden
  Norway
  United States of America
Note
Includes bibliographical references and index
Contents of Works
- Human capital management systems
- Human capital management system components
- Database systems, concepts and design
- Dimensional modeling
- Reporting and analytics with multidimensional and relational databases
- Online analytical processing and the OLAP cube multidimensional database
- Multidimensional OLAP database project with SQL server analytical services
- Multidimensional cube analysis with Microsoft Excel and SQL server analysis services
- Data mining
- Project management
Description and Table of Contents
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.
Table of Contents
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
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