Table of Contents
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FOREWORD
PREFACE
List of Contributors
Role of HR Analytics in People Management: Challenges and Opportunities in the Indian IT/ITeS Space
Abstract
INTRODUCTION
HR ANALYTICS?
HR ANALYTICS, PRACTICE, ADOPTION, IMPLEMENTATION, AND OUTCOME
Objectives of the Research
Methodology
Sample Size
Tool for Research
Results, Discussion, and Conclusion
IT COMPANIES OF INDIA AND THEIR CONTRIBUTION TO HR ANALYTICS
TCS, HR Analytics
INFOSYS HR ANALYTICS
Indian IT Entities and Overseas Engagement and HR Analytics
Global IT Majors and HR Analytics
HR Teams, HR Analytics, and How the Business Sees the Scenario
CONCLUSION AND THE WAY FORWARD
CONSENT FOR PUBLICATION
ACKNOWLEDGEMENTS
REFERENCES
Impact of HR Analytics on Organizational Performance: A Modern Approach in HR
Abstract
INTRODUCTION
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
Human Resource Analytics (HR Analytics)
Benefits of HR Analytics
Organizational Performance Metrics
Productivity
Organizational Effectiveness
Industry Ranking
Proposed Conceptual Model
Hypothesis (1a)
Hypothesis (1b)
Objectives of the Study
METHODOLOGY
Secondary Data Analysis
Google
Use of HR Analytics at Google
Result for HR Analytics (Google)
Microsoft
Use of HR Analytics (Microsoft)
Results of HR Analytics at Microsoft
HP
Use of HR Analytics at HP
Results of HR Analytics at HP
IBM
Use of HR Analytics at IBM
Results of HR Analytics at IBM
Unilever
Use of HR Analytics at Unilever
Results of HR Analytics at Unilever
Literature Review
Global Perspectives on HR Analytics
North America
Europe
Asia-Pacific
Organizational Performance
The Influence of HR Analytics as a Mediator of Organizational Performance within The Context of Human Capital Management
Implications of the Study
DISCUSSION AND CONCLUSION
REFERENCES
Predictive Analytics in Recruitment and Selection Practices
Abstract
INTRODUCTION
Understanding HR Analytics in Recruitment and Selection
Data Collection
Candidate Sourcing
Predictive Analytics
Employee Retention
Diversity and Inclusion
Candidate Assessment
Employee Retention
Continuous Improvement
Importance of Recruitment and Selection
Data-Driven Decision Making
Cost Management
Strategic Work Force Planning
Enhancing Candidate Experience
Compliance and Legal Considerations
Key Aspects of Recruitment and Selection in HR Analytics
Job Analysis
Sourcing
Screening
Interviewing
Assessment
Background Checks
Reference Checks
Decision Making
Offer and Negotiation
Onboarding
Legal Compliance
Diversity and Inclusion
Feedback and Improvement
Employer Branding
Technology Integration
Candidate Experience
Methods of Recruitment and Selection in HR Analytics
Job Posting and Job Boards
Social Media Recruitment
Employee Referrals
Recruitment Agencies
Predictive Hiring Models
Behavioral Assessments
Video Interviews
Resume Screening
Talent Pipelining
Diversity Hiring
Candidate Experience Analysis
Time-to-Fill and Cost-Per-Hire Analysis
Exit Interviewing Analysis
Implementation of HR Analytics in Recruitment And Selection
Define Objective
Data Collection
Data Integration
Data Cleaning
Data Analysis
Choose Analytics Tools
Identify Key Metrics
Identify Improvement Areas
Continuous Monitoring
Feedback Loop
Actionable Insights
A/B Testing
Training
Reporting
Iterative and Improve
Key Indicators of Recruitment and Selection in HR Analytics
Time to Hire
Quality of Hire
Applicant-To-Interview Ratio
Interview-To-Offer Ratio
Time spent in each hiring stage
Future Trends
Predictive Analytics
AI-Powered Automation
Real-Time Data Analysis
Video and Social Media Analytics
Integrated HR Technology Platforms
CONCLUSION
REFERENCES
HR Analytics and People Management
Abstract
INTRODUCTION
Understanding HR Analytics
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
The Importance of People Management
Talent as a Competitive Advantage
Employee Productivity
Employee Retention
Adaptability to Change
Employee Experience
Integration of Hr Analytics
Optimizing Talent Acquisition
Enhancing Performance Management
Workforce Planning and Succession Management
Employee Participation and Preservation
Strategic Decision-Making
Metrics and Key Performance Indicators (KPIs) In People Management
Talent Acquisition Metrics
Period-to-Fill
Cost-per-Hire
Quality of Hire
Employee Engagement and Satisfaction Metrics
Employee Net Promoter Rating (eNPR)
Employee Satisfaction Score
Engagement Index
Performance Management Metrics
Performance Appraisal Ratings
Goal Attainment
Feedback Scores
Training and Development Metrics
Training ROI
Training Completion Rates
Skills Gap Analysis
Diversity and Inclusion Metrics
Diversity Index
Inclusion Score
Implementing HR Analytics in Organizations
Leadership Buy-In
Data Infrastructure
Data Governance
Skills and Training
Identify Key Metrics
Select Analytics Tools
CASE STUDIES
Case Study 1: Google Inc.
Case Study 2: IBM
Case Study 3: Hilton Worldwide
FUTURE TRENDS IN HR ANALYTICS
AI and Machine Learning Integration
Predictive Workforce Analytics
Employee Experience Enhancement
Real-time Data Analytics
Ethical and Responsible AI
People Analytics Centers of Excellence
Employee Well-being Metrics
Continuous Learning and Upskilling
CONCLUSION
REFERENCES
Unleashing the Power of HR Analytics: Enhancing People Management Strategies
Abstract
INTRODUCTION TO HR ANALYTICS AND ITS SIGNIFICANCE IN MODERN BUSINESS
Defining HR Analytics
The Power of Data-Driven Insights
The Significance in Modern Business
Informed Decision-Making
Enhanced Recruitment
Employee Retention and Engagement
Performance Optimization
Strategic Workforce Planning
Personalized Learning and Development
Ethical and Inclusive Practices
The Transformation from Traditional HR Practices to Data-Driven Decision-Making
From Paper to Pixels: Digitalization of HR Records
The Emergence of HR Metrics and Reporting
Transition to Predictive Analytics
From Intuition to Evidence-Based Insights
Enhanced Recruitment Strategies
Tailored Learning and Development
Proactive Employee Retention
Strategic Workforce Planning
Ethical and Inclusive Practices
Enhancing People Management Strategies through HR Analytics
Informed Recruitment and Selection
Precise Employee Onboarding
Employee Engagement and Retention
Personalized Learning and Development
Optimized Performance Management
Effective Team Composition
Proactive Succession Planning
Workforce Diversity and Inclusion
Strategic Workforce Planning
UNDERSTANDING HR ANALYTICS
Core Components of HR Analytics
Data Collection and Integration
Data Cleaning and Preprocessing
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
Data Visualization and Reporting
Ethical Considerations
Continuous Improvement
The Process to Collect - HR-Related Data
Data Collection
Employee Records
Recruitment Data
Training and Development Records
Compensation and Benefits Data
Performance Metrics
Employee Surveys
External Data
Data Preparation and Cleaning
Data Validation
Handling Missing Values
Data Transformation
Removing Duplicates
Data Analysis
Descriptive Analysis
Diagnostic Analysis
Predictive Analysis
Prescriptive Analysis
Interpretation of Insights
Contextual Understanding
Identifying Patterns
Strategic Implications
Decision-Making
Communication
Data Visualization
Narrative Explanation
Stakeholder Engagement
Actionable Recommendations
Continuous Improvement
THE ROLE OF DATA-DRIVEN INSIGHTS IN STRATEGIC DECISION-MAKING
Informed Decision-Making
Evidence-Based Strategy Formulation
Mitigating Risk
Objective Evaluation
Measurable Impact
Flexibility and Agility
Alignment with Organizational Goals
Enhancing Employee Experience
BENEFITS OF HR ANALYTICS FOR PEOPLE MANAGEMENT
Informed Decision-Making
Enhanced Recruitment Strategies
Improved Employee Retention
Personalized Learning and Development
Performance Optimization
Strategic Workforce Planning
Employee Engagement Enhancement
Objective Diversity and Inclusion Initiatives
Effective Succession Planning
Measurable Return on Investment (ROI)
Data-Driven Culture
Continuous Improvement
APPLICATION OF HR ANALYTICS IN PEOPLE MANAGEMENT
Recruitment and Talent Acquisition
Sourcing Optimization
Candidate Success Prediction
Cultural Fit Assessment
Employee Onboarding and Integration
Onboarding Effectiveness
Time to Productivity
Performance Management
Objective Performance Evaluations
Performance Trends
Learning and Development
Skill Gap Identification
Learning Impact
Employee Engagement and Retention
Engagement Insights
Attrition Risk Prediction
Team Dynamics and Collaboration
Team Composition
Collaboration Patterns
Compensation and Benefits
Fair Compensation
Benefit Preferences
Succession Planning
High-Potential Identification
Leadership Development
Diversity and Inclusion
Representation Analysis
Inclusion Initiatives
Exit and Turnover Analysis
Turnover Causes
Cost of Turnover
Workforce Planning
Future Skill Demands
Talent Supply Forecasting
ETHICAL CONSIDERATIONS IN HR ANALYTICS
Data Privacy and Consent
Informed Consent & Data Security
Transparency
Clear Communication
Fairness and Non-Discrimination
Avoiding Bias
Equal Treatment
Anonymization and De-Identification
Protecting Privacy
Accountability and Ownership
Ownership of Data
Accountability
Use Limitations
Scope of Use
Employee Empowerment
Access to Data
Continuous Monitoring and Auditing
Ethical Review
Adjustments
Cultural and Social Sensitivity
Respecting Diversity
Compliance with Regulations
Legal Frameworks
CHALLENGES AND FUTURE TRENDS
Challenges
Data Quality and Integration
Challenge
Impact
Data Privacy and Ethics
Challenge
Impact
Skill Gap and Talent Shortage
Challenge
Impact
Resistance to Change
Challenge
Bias and Fairness
Challenge
Technology and Infrastructure
Challenge
Future Trends
Predictive and Prescriptive Analytics
Trend
AI and Machine Learning
Trend
Employee Experience Analytics
Trend
Workforce Planning for Remote and Hybrid Work
Trend
Emotional and Sentiment Analysis
Trend
Natural Language Processing (NLP)
Trend
Integration with HR Technology
Trend
Ethical AI and Responsible Analytics
Trend
Skill Development for HR Analytics
Trend
CONCLUSION
REFERENCES
Predicting Employee Performance Using Predictive Models
Abstract
INTRODUCTION
Key Components of Predicting Employee Performance
Data Collection and Preparation
Feature Selection and Engineering
Model Selection
Model Training
Validation and Evaluation
Feature Importance Analysis
Model Interpretability
Deployment and Monitoring
Ethical Considerations
Iterative Improvement
The Importance of Predictive Employee Performance
Informed Decision-Making
Talent Acquisition
Resource Allocation
Strategic Workforce Planning
Personalized Development
Employee Engagement
Retention Strategies
Performance Metrics Alignment
Reduced Turnover Costs
Effective Succession Planning
Integration of Predicting Employee Performance and Predictive Models
Data Collection and Management
Model Development and Validation
Integration into HR Processes
Talent Acquisition and Recruitment
Performance Management
Succession Planning
Employee Development
Retention Strategies
Continuous Improvement
Leadership Support and Training
Ethical Considerations
Communication and Transparency
Implementing Predictive Employee Performance in an Organization
Define Objectives and Goals
Assemble a Cross-Functional Team
Data Gathering and Preparation
Choose Predictive Models
CASE STUDIES
Case Study 1
Tech Startup Talent Optimization
Case Study 2
Retail Chain Employee Succession Planning
Case Study 3
Financial Services Performance Enhancement
CONCLUSION
REFERENCES
A Numbers Game or a People Game: An Analytical Approach to Bring the Best Talent to the Organizations
Abstract
INTRODUCTION
HR ANALYTICS
SPHERES OF IMPLICATIONS OF ANALYTICS IN HR
TALENT MANAGEMENT
Talent Management Analytics
Recruitment
Recruitment Metrics
Applicants Per Opening
Application Completion Rate
Example
Candidate Call-back Rate
Example
Source of Hire
Time to Fill
Time to Hire
Offer Acceptance Rate
Example
Recruitment Funnel Effectiveness
Sourcing Channel Effectiveness
Sourcing Channel costs
Example
Recruiter Performance Metrics
Candidate Experience
Hiring Manager Satisfaction
Retention Rate
How Talent Management Analytics can Help in People Management?
CONCLUSION
REFERENCES
HR Analytics: Concept, Advantages and Obstacles
Abstract
INTRODUCTION
Concept of HR Analytics
Literature Review
Research Methodology
Secondary Data
Purposes of the Study
Types of HR Analytics
Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics
HR Analytics Tools
R - Programming
Excel
Tableau
Python
Power BI
Visier
Benefits of HR Analytics
Lower Employee Turnover
Making the Hiring Process More Effective
Improving Training
Effective Hiring
Gaining Additional Employee Insights
Supporting Increased Productivity at Work
Metrics Monitored by HR Analytics
Efficiency of Training
Risk to Human Capital
Offer Acceptance Rate
Absenteeism
Employee Training Expenses
Revenue Per Employee
Obstacles to Implementing HR Analytics
Data Quality Challenge
Data Governance Issue
Deficiency in Data Analysis Skills
Insufficient IT Resources
Diverse Data Landscape
Employee Resistance
CONCLUSION
REFERENCES
HR Analytics: Fundamentals and Applications
Edited by
Sandeep Kumar Kautish
Apex Institute of Technology
Chandigarh University
Mohali, Punjab
India
&
Anuj Sheopuri
Deptartment of Management
Harlal Institute of Management & Technology
Greater Noida
India
BENTHAM SCIENCE PUBLISHERS LTD.
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FOREWORD
HR analytics sometimes goes by other names like people analytics, talent analytics, workforce analytics, and human capital analytics. It is defined as the analytics of human resources (employees), which includes the entire life cycle of employees, such as hiring, engaging, and ultimately, retention. HR has been undergoing a digital transformation for some time. With so much data, there has been a huge increase in the availability of unnecessary data, too. With so much ample data, it poses a challenge for HR professionals to sort and select the required data. Hence, HR practitioners must be able to read and understand HR analytics to create value for their organizations, as well as to improve their own capabilities. The tools and techniques will make sense of all of this information so one can make better HR business decisions. HR analytics empowers HR managers to be conversant with the idiosyncrasy of teams, which may be built upon people at multi-location workplaces. HR analytics is used for corporate decision making, achieving strategic goals, and sustaining a competitive advantage. The people-related data is procured, analyzed, and interpreted for the purpose of improvement. HRM focuses on supporting employees; people analytics brings science into HR. People analytics allows HR to quantify its efforts and impact in order to encourage better people decisions. It is the revival of people-driven scientific management.
In this foreword, I will focus primarily on the broader trend to think more analytically about almost everything and what that means for HR. This edited book provides a vital tool for HR practitioners to get familiar with the fundamentals of HR analytics, which is now a important for every HR professional. Actually, understanding and applying the data and analyzing it to solve real-life HR challenges is the main skill that has to be developed and enhanced. Today, there is no industry or field that is not using analytics. HR analytics has the potential to play a key role in the transformation process (e.g., choosing and validating selection tools) that helps in decision making, etc. I wholeheartedly recommend this book for all who are grappling with how to capitalize on HR analytics and add greater value, as this book contains contributions by various professionals that make us understand effective HR practices. This book has an easy-to-understand format to illustrate the use of analytics to solve challenging problems that are commonplace in organizations.
Ali Wagdy Mohamed
Operations Research Department
Faculty of Graduate Studies for Statistical Research
Cairo University, Giza-12613, Egypt
PREFACE
This book, “HR Analytics: Fundamentals and Applications”, aims to compile innovative methods and literature related to HR analytics. It throws light on the role of analytics in the human resource industry, portrays the challenges and resistance that are faced in the industry, and determines how HR analytics is transforming and supporting various activities in the field of HR. In recent decades, advances in information technology and systems have reduced the time HR professionals spend on transactional and administrative activities, thereby creating more time and opportunities for transformational activities supporting the realization of strategic organizational objectives.
The content presented in this book offers a variety of methods/techniques that will provide an effective and sustainable solution for analytics, which has turned out to be one of the most gripping and useful tools. Therefore, HR analytics can go a long way toward sensitizing people toward building upon employee relations. It helps to create an employee-centric organization by providing HR professionals the required skills and opportunities to work and adapt to a data-driven environment and make informed and data-backed decisions. The topics covered are – the roles of HR analytics in people management, how various tools and techniques are used in recruitment and selection practices, and also its role in predicting employee performance. Overall, the concepts, advantages, and obstacles of HR analytics are discussed.
This edited book sheds light on upcoming trends, challenges, and future research directions in HR analytics. The editors have explored the topics and the subjects that are impressive and impactful. We hope the exploration of what it takes to successfully launch and grow these capabilities will boost awareness of how HR professionals can lead the charge to change while elevating the function’s status in the eyes of stakeholders.
We would like to express our heartfelt gratitude to our reviewers who have helped despite their hectic schedules. Thank you very much to all our authors for submitting their work. We would like to express our heartfelt gratitude to Bentham Science Publishers for accepting our proposal to edit this book and for their unwavering support throughout the editing process. Thank you to everyone who has contributed, directly or indirectly, to the completion of this edited book.
We believe the efforts we rendered for editing the book are worthwhile only if this book is of any use to the ordinary end-users of our society. This gratification will motivate us to produce more edited publications that will benefit society.
Sandeep Kumar Kautish
Apex Institute of Technology
Chandigarh University
Mohali, Punjab, India
&Anuj Sheopuri
Department of Management
Harlal Institute of Management & Technology
List of Contributors
Amarnatha Reddy P.Custard Apple Consulting, Hyderabad, IndiaAbinash T.Sri Sairam Engineering College, Chennai, IndiaFreeda Maria Swarna M.Dharthi NGO, Bangalore, IndiaGomuprakash P.Sri Sairam Engineering College, Chennai, IndiaIsha BhardwajIMS - Ghaziabad (University Courses Campus), Dehli, IndiaJatinder KaurRukmini Devi Institute of Advanced Studies, Affilated to GGSIPU, New Delhi, IndiaMadhvi LambaDepartment of Management Studies, Deenbandhu Chhotu Ram University of Science and Technology, Murthal, Haryana, 131039, IndiaNidhi SrivastavaIMS - Ghaziabad (University Courses Campus), Dehli, IndiaNithyashree N.Sri Sairam Engineering College, Chennai, IndiaPanch RamalingamUGC-HRDC, Pondicherry University, Pondicherry, IndiaParulkumari BhatiDepartment of Humanities and Social Science, Institute of Technology, Nirma University, Gujarat, IndiaRupa RatheeDeenbandhu Chhotu Ram University of Science and Technology, Murthal, Haryana, IndiaShaheed KhanResearch and Training, Dharthi NGO, Bangalore, IndiaSasirekha V.Faculty of Management, SRM Institute of Science & Technology, Vadapalani, Chennai, IndiaSarulatha N.Management Studies DG Vaishnava College, Chennai, IndiaSuresh R.Management Studies, Sri Sairam Engineering College, Chennai, IndiaSrijan GuptaRukmini Devi Institute of Advanced Studies, Affilated to GGSIPU, New Delhi, IndiaVenkateswara Prasad B.Management Studies, Sri Sairam Engineering College, Chennai, India
Role of HR Analytics in People Management: Challenges and Opportunities in the Indian IT/ITeS Space
Freeda Maria Swarna M.1,Shaheed Khan2,*,Panch Ramalingam3,Amarnatha Reddy P.4
1 Dharthi NGO, Bangalore, India
2 Research and Training, Dharthi NGO, Bangalore, India
3 UGC-HRDC, Pondicherry University, Pondicherry, India
4 Custard Apple Consulting, Hyderabad, India
Abstract
Human capability and capacity are what determine what an organization can do, and thence, managing human resources (HR), or human capital, is one of the most important, if not significant, functions of an organization. Considering the size of the organization, and in a day and age where organizations have thousands of employees that are spread across a wide geographical area, HR analytics comes into play. HR analytics, in a true sense, provides the necessary scientific support to decision-making and process improvement concerning a firm/organization’s HR and the organization in general. The way organizations are growing, and the dynamic role that the HR ecosystem plays makes it pertinent that a robust HR analytics system is in place. With more organizations realizing that qualitative data helps to hire, engage, and retain the right talent, the investment in HR analytics has seen an increase. It is right to say that HR analytics aims to provide insights into how best to manage employees and reach business goals. Because of data availability, it is important for HR teams to identify data relevance and its usage, leading to maximizing return on investment (RoI). The chapter places a perspective on how HR is i) identifying high-performing applicants, ii) supportingthe analysis of pertinent aspects of engagement, iii) identifying high-value career paths and leadership applicants, iv) analyzing strengths of prospective and existing associates, v) ushering in a qualitative and metric oriented performance management system (PMS), and vi) managing/predicting attrition.
Keywords: Data, HR analytics, Leadership, Performance management systems (PMS), Prediction, RoI.
*Corresponding author Shaheed Khan: Research and Training, Dharthi NGO, Bangalore, India; E-mail:
[email protected]INTRODUCTION
Human resources (HR) analytics bridges the gap between HR activities in the corporate world and displays the outcomes that the decision makers receive from the same. With the Information Technology (IT) and Information Technology-enabled Services (ITeS) sector being considered the vibrant and dynamic segments for the innovative working culture, it is by choice that HR analytics plays a role that is unique and important, if not critical, to the HR function and the organization for ensuring decisions to be taken on a real-time basis.
The National Association of Software Companies (NASSCOM) stated that, “investing for growth is the primary focus of the Software business. One must realise that, (i) the forward-looking policies of the sector, (ii) a strong facet of governance, (iii) investment on talent, that is the crux of the industry, and (iv) digital trust, which makes efforts to ensure, privacy, security, and reliability across the spectrum; the IT/ITeS space in India is galloping toward a growth factor of $500 by 2030 (NASSCOM, 2023).” This is an incredible statement by Debjani Ghosh, President (NASSCOM, 2023), NASSCOM (https://nasscom.in), on the IT/ITeS and the way it is growing.
The IT/ITeS business segment, with its vast global delivery model (GDM) and enormous human capital for managing the onsite, offshore, nearshore, and even client locations, provides a huge opportunity for the human resources (HR) department to ensure the best for the organizations. HR engages itself in talent acquisition (TA), talent engagement (TE), talent management (TM), talent transformation (TR), and the various other activities to enable organizations to function smoothly. Sun (2022) put forward data about the totality of IT/ITeS employment for 2009-2022, which was enormous and stood at 4.85 million employees as of 2022 (Fig. 1). This clearly sends a perspective that managing people, the most important facet of the business, must and should be done in a scientific way to ensure that the investment that is done in HR is captured well.
The sheer numbers clearly showcase the need for HR analytics, the metric that has become critical to the HR function. Bersin (2023) mentions the amount of data that is generated on account of the human capital that needs to be managed. Josh Bersin mentions that the single most common expenditure in most companies is people, followed by (i) salaries, (ii) benefits, (iii) real estate, and (iv) the domain of HR. The challenge is how do we manage this expenditure in the best way possible? Thence, the need of the hour is to ‘integrate people data’ (Bersin, 2023). It is here that Bersin (2023) introduces the facet of systemic people analytics (SPA), a new concept and a thought process about HR and the technologies it imbibes.
Fig. (1))
Employment of IT/ITeS industry in India, 2009-2022, Sun (2022).
HR ANALYTICS?
For an HR professional or a layman, what is HR analytics? How does it impact the IT/ITeS sector in India? As mentioned by Chanakya Sehgal (Sehgal, 2023