
Business Intelligence and Human Resource Management
Concept, Cases, and Practical Applications
- 292 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Business Intelligence and Human Resource Management
Concept, Cases, and Practical Applications
About this book
Business Intelligence (BI) is a solution to modern business problems.
This book discusses the relationship between BI and Human Resource Management (HRM). In addition, it discusses how BI can be used as a strategic decision-making tool for the sustainable growth of an organization or business. BI helps organizations generate interactive reports with clear and reliable data for making numerous business decisions.
This book covers topics spanning the important areas of BI in the context of HRM. It gives an overview of the aspects, tools, and techniques of BI and how it can assist HRM in creating a successful future for organizations. Some of the tools and techniques discussed in the book are analysis, data preparation, BI-testing, implementation, and optimization on GR and management disciplines. It will include a chapter on text mining as well as a section of case studies for practical use. This book will be useful for business professionals, including but not limited to, HR professionals, and budding business students.
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Information
Table of contents
- Cover
- Half Title
- Title Page
- Copyright Page
- Table of Contents
- Foreword
- Preface
- Acknowledgements
- Editors
- Contributors
- 1 An Introduction to Business Intelligence
- 2 Business Intelligence: A Value-Increasing Strategy for the Organization
- 3 Transforming HR through BI and Information Technology
- 4 The Role of Business Intelligence in Organizational Sustainability in the Era of IR 4.0
- 5 Business Intelligence and Branding
- 6 Role of Business Intelligence and HR Planning in Modern Industrialization
- 7 The Current State of Business Intelligence Research: A Bibliographic Analysis
- 8 Empirical Assessment of Artificial Intelligence Enablers Strengthening Business Intelligence in the Indian Banking Industry: ISM and MICMAC Modelling Approach
- 9 Measuring the Organizational Performance of Various Retail Formats in the Adoption of Business Intelligence
- 10 Implementation and Scope of Business Intelligence and Oracle Transportation Management System in Tata Steel Supply Chain
- 11 New Marketing Perspective in Post-Covid Era with the Application of Business Intelligence
- 12 The Application of Text Mining in Detecting Financial Fraud: A Literature Review
- 13 Effectiveness of Robotics Process Automation in Increasing the Productivity of Employees and Organizations with Reference to Business Analytics
- 14 Business Intelligence Application through Customer Relationship Management in LIC of India: A Case Study
- Index