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Human capital systems, analytics, and data mining/ by Robert Clayton Hughes

By: Material type: TextTextSeries: ; Chapman & Hall/CRC data mining and knowledge discovery seriesPublication details: Boca Raton, FL: CRC Press, Taylor & Francis Group, 2020Edition: 1st edDescription: 272 pages : 46 illustrations; 25 cmISBN:
  • 9780367571214
Subject(s): DDC classification:
  • 005.74068  HUU
Contents:
Chapter 1: Human capital management systems
Chapter 2: Human capital management system components
Chapter 3: Database systems, concepts and design
Chapter 4: Dimensional modeling
Chapter 5: Reporting and analytics with multidimensional and relational databases
Chapter 6: Online analytical processing and the OLAP cube multidimensional database
Chapter 7: Multidimensional OLAP database project with SQL server analytical services
Chapter 8: Multidimensional cube analysis with Microsoft Excel and SQL server analysis services
Chapter 9: Data mining
Chapter 10: Project management
Summary: 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
Item type: Books List(s) this item appears in: Computer Science & Engineering | New Arrival Book 2023
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Holdings
Item type Current library Collection Shelving location Call number Copy number Status Date due Barcode
Books Books KU Central Library Rack No. : 01 Annex : 01 Shelve No. : A-03 Reference Section (Non-Issuable Books) 005.74068 HUU 2020 (Browse shelf(Opens below)) C-1 (NI) Not For Loan 52083


Chapter 1: Human capital management systems

Chapter 2: Human capital management system components

Chapter 3: Database systems, concepts and design

Chapter 4: Dimensional modeling

Chapter 5: Reporting and analytics with multidimensional and relational databases

Chapter 6: Online analytical processing and the OLAP cube multidimensional database

Chapter 7: Multidimensional OLAP database project with SQL server analytical services

Chapter 8: Multidimensional cube analysis with Microsoft Excel and SQL server analysis services

Chapter 9: Data mining

Chapter 10: Project management

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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