Business Intelligence and Human Resource Management : Concept, Cases, and Practical Applications

Title: Business Intelligence and Human Resource Management : Concept, Cases, and Practical Applications
Author: Amizan Omar, Anurag Singh, Deepmala Singh, SB Goyal
ISBN: 1032027290 / 9781032027296
Format: Soft Cover
Pages: 272
Publisher: Productivity Press
Year: 2022
Availability: 2 to 3 weeks.

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Business Intelligence (BI) is a solution to modern business problems. This book discusses the relationship between Business Intelligence (BI) and Human Resource Management (HRM). In addition, it covers how BI can be used as a strategic decision-making tool for the sustainable growth of an organization or business. Business Intelligence helps organizations to generate interactive reports with clear and reliable data for making numerous business decisions.

This book covers topics spanning the important areas of business intelligence in the context of Human Resource Management as well as the aspects, tools, and techniques of BI and how it can assist Human Resource Management 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. The book includes a chapter on text mining as well as a section of case studies for practical use.

This book is useful for business professionals, including but not limited to, HR professionals and budding business students.

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Preface

Chapter 1 : An Introduction to Business Intelligence
Chapter 2 : Business Intelligence : A Value Increasing Strategy for the Organization
Chapter 3 : Transforming HR through BI & Information Technology
Chapter 4 : The Role of Business Intelligence in Organizational Sustainability in the Era of IR 4.0
Chapter 5 : Business Intelligence and Branding
Chapter 6 : Role of Business Intelligence and HR Planning in Modern Industrialization
Chapter 7 : The Current State of Business Intelligence Research : A Bibliographic Analysis
Chapter 8 : An Empirical Assessment of Artificial Intelligence (AI) Enablers Strengthening Business Intelligence in Indian Banking Industry : ISM & MICMAC Modelling Approach
Chapter 9 : Measuring the organizational performance of various retail formats in the adoption of Business Intelligence
Chapter 10 : Implementation and Scope of Business Intelligence & Oracle Transportation Management System in Tata Steel Supply Chain
Chapter 11 : New Marketing Perspective in Post Covid Era with the application of Business Intelligence
Chapter 12 : The Application of Text Mining in Detecting Financial Fraud : A Literature Review
Chapter 13 : Effectiveness of Robotics Process Automation in Increasing The Productivity of Employees and Organizations With Reference to Business Analytics
Chapter 14 : Business Intelligence Application through Customer Relationship Management in LIC of India : A Case Study

Index