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Personaleledelse og HR

Human Capital Systems, Analytics, and Data Mining

Udgivet af Taylor & Francis Ltd

Bogdetaljer

  • Hæftet
  • 272 sider
  • Engelsk
ISBN 9780367571214
Om denne bog

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…

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Bogdetaljer
Forfatter Robert C. Hughes
Forlag Taylor & Francis Ltd
Kategori Personaleledelse og HR
ISBN-13 9780367571214
EAN 9780367571214
Format Hæftet
Sprog Engelsk
sider 272
Produktbeskrivelse
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.

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