Podcast
Questions and Answers
What is the primary objective of HRD analytics in an organization?
What is the primary objective of HRD analytics in an organization?
- To identify factors that contribute to increased business performance
- To make available quality manpower
- To facilitate effective career development of employees
- To improve employee satisfaction and performance (correct)
What does HRD analytics help in identifying?
What does HRD analytics help in identifying?
- Right-fit recruitment and selection
- Available quality manpower
- Factors that contribute to increased business performance (correct)
- KPIs that can contribute to business goals
What is the outcome of using HRD analytics in an organization?
What is the outcome of using HRD analytics in an organization?
- Improved talent retention
- Enhanced business performance (correct)
- Effective career development of employees
- All of the above
What is the role of HRD analytics in career development?
What is the role of HRD analytics in career development?
What is the importance of HRD analytics in an organization?
What is the importance of HRD analytics in an organization?
What is the purpose of HRD analytics?
What is the purpose of HRD analytics?
What is the benefit of using HRD analytics in an organization?
What is the benefit of using HRD analytics in an organization?
What is the outcome of effective talent management using HRD analytics?
What is the outcome of effective talent management using HRD analytics?
What is the role of HRD analytics in manpower planning?
What is the role of HRD analytics in manpower planning?
What is the importance of HRD analytics in recruitment and selection?
What is the importance of HRD analytics in recruitment and selection?
Study Notes
Overview of HRD Analysis
- HR departments struggle to derive valuable insights from large amounts of data.
- Complexities of businesses today require the alignment of HR decisions with strategies and business goals.
- HR analytics is a forward-looking approach to predict future outcomes.
Concept of HR Analytics
- HR analytics is a process of collating, integrating, and measuring data for specific HR decisions.
- It brings together "analysis" and "statistics" to find the application of the data pool created by HR.
- HR analytics provides opportunities to assess how employees contribute to the organization and meet their career expectations.
- It substantially reduces the risk of wrong decisions and improves the quality of critical HR decisions.
HR Analytics Tools
- HR analytics tools utilize techniques of data mining and business analytics to transform HR data into a valuable commodity for the organization.
- These tools are people-focused and help HR better hire, manage, and support employees.
Example of HR Analytics
- Google implemented HR analytics through "Project Oxygen", which helped identify successful leadership behaviors and skills.
Purpose of HR Analytics
- The purpose of HR analytics is to reach business goals and provide insights into the current state of operations.
- It helps build prediction models to identify strategies for optimum return on investment (ROI) for human resources.
- HR analytics enables HR professionals to create job offers that procure the best talent and manage and retain them to boost ROI.
Data Points for HR Analytics
- Employee performance data
- Employee attendance data
- Multi-rater/360° reviews data
- Salary data
- Promotion data
- Employee work history data
- Demographic details data
- Employee temperament data
Importance and Benefits of HRD Analytics
- Helps in planning for effective career development of employees
- Facilitates making available the right people at the right time
- Improves business performance through quality HR decision making
- Ensures right-fit recruitment and selection
- Helps in identifying factors that contribute to increased employee satisfaction and performance
- Helps in identifying KPIs that contribute to business outcomes
- Improves talent retention
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Description
Explore how Google uses HR analytics to analyze employee feedback and performance ratings, and how it relates to productivity metrics.