Training and Development Along with HR Analytics in Health Science Institute to Optimize the Employee Attrition Rate
Development and training are two sides of the same coin. The management to meet its deadline, both techniques should be merged. Determining the needs of people in terms of both quantity and kind is the goal of personnel planning. Both current and future needs shall be taken in consideration when determining the number of people. Effective personnel planning also depends on the kind of individual required. This study's objective is to evaluate and comprehend the efficacy of training and development across the university's departments and institutes. Recruitment and selection, succession planning, training and development, employee attrition, and workforce mobility are just a few of the critical areas that HR analytics address in effective workforce planning. HR dashboards play a crucial role by rapidly gathering and presenting data, offering actionable insights that improve decision-making. HR professionals may quickly see trends and make informed decisions to meet future workforce demands by arranging data in an easily accessible style. This makes it possible for HR departments to develop proactive retention plans, ensuring that businesses have the best people at every stage of the employee lifecycle. It provides instant access to employee performance data and enables data-informed decision-making, HR analytics is crucial in modern firms. HR analytics offer crucial information and help businesses evaluate the performance of both individual workers and the company. Organizations shall make well-informed decisions that improve future performance, raise employee engagement, and reduce attrition rates by using past data and performance results.
Authors
- Ashish Rami
- P Ranganath Nayak
- Monaliben P Prajapati
Institutions
- Swami Vivekanand College of Pharmacy (IN)
- Department of Commerce (AU)
Publication Details
- Journal
- International Journal of Business and Management Research
- Published
- 2025-06-30
- DOI
- https://doi.org/10.37391/ijbmr.130202
- Primary Topic
- AI and HR Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00