HR Analytics
Chapter notes, video classes, MCQ practice tests and quick-revision one-liners for Human Resources Management (Elective) — CAIIB.
One-liners from this chapter
Free sample — 8 of 66 rapid-fire Q&A cards.
What is HR Analytics in the context of banking organizations?
HR Analytics is the systematic application of data analysis and statistical methods to human resource data to improve workforce decisions, predict employee behaviour, and enhance organizational performance in banks.
What is the primary difference between HR analytics and traditional HR reporting?
Analytics generates insights and predictions; reporting describes past data.
What distinguishes descriptive HR analytics from predictive HR analytics?
Descriptive HR analytics summarizes historical workforce data (e.g., attrition rates, headcount trends), while predictive HR analytics uses statistical models to forecast future outcomes such as employee turnover or performance.
What is 'prescriptive HR analytics' and how does it differ from predictive analytics?
Prescriptive recommends actions; predictive only forecasts future outcomes.
What is the primary purpose of workforce planning analytics in banks?
Workforce planning analytics helps banks align their human capital supply with strategic business demand by forecasting skill gaps, succession needs, and optimal staffing levels across branches and departments.
What is the 'HR-to-employee ratio' and why is it monitored in banking?
Number of HR staff per 100 employees; measures HR department efficiency.
Which type of HR metric measures the financial return generated per employee in a bank?
Revenue per Employee is the metric that measures financial productivity; it is calculated by dividing total bank revenue by the total number of full-time equivalent employees.
What does 'employee lifetime value' (ELTV) represent in HR analytics?
Total net contribution an employee makes to the organization over their tenure.
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