RESEARCH ON HR ANALYTICS USING POWER BI AND MACHINE LEARNING

May 2023
Vol-9, Issue-3
Paper ID: 20275
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
computer enginnering
Keywords
Predictive analysis employee churn power BI random forest logistic regression HR management
Abstract
A subject of vast knowledge in which predictive and descriptive analytics is of its main components which includes employee work performance analysis, promotion analysis and attrition rate analysis as results. The main purpose of Human Resource management is to measure the achievement of employees and their role in the work services or business which acts as benefits to the company and to analyze employee period in the company. The main motto of Human Resource analytics is to identify skilled individuals strive extremely for of who the return investment for the organization by considering several factors which a better understanding of the for help predictive analysis. Employee is individual churn by considered a major problem for many organizations. It is one of the crucial problems to identify because it affects sustainability and also the organization‟ s planning and enhancing work culture harmony. Therefore, the Human Resource department in every organization is striving hard paying attention identify underlying and the to improvements. By identifying this demand, the study aims to increase the ability to identify employee churn using POWER BI with the help of real-time data insights in dashboards for HR management.HR report is an analytical method used to display human resources -related status , insights , and metrics with the primary purpose of improving workforce performance , recruiting procedures and other relevant HR processes with the help of HR dashboards.

Author Information

# Name Institute / Affiliation
1 Ms. Ankita Anil Patil Genba Sopanrao Moze College of Engineering Balewadi, Pune 411045
2 Ms. Rashmi Mrugank Shah Genba Sopanrao Moze College of Engineering Balewadi, Pune 411045
3 Ms. Anisha Anil Khamkar Genba Sopanrao Moze College of Engineering Balewadi, Pune 411045
4 Prof. Ashvini Ganesh Bhosale Genba Sopanrao Moze College of Engineering Balewadi, Pune 411045

How to Cite

Use the following formats to cite this article in your research.

APA Style
Patil, Ms. Ankita Anil, Shah, Ms. Rashmi Mrugank, Khamkar, Ms. Anisha Anil, & Bhosale, Prof. Ashvini Ganesh (2023). RESEARCH ON HR ANALYTICS USING POWER BI AND MACHINE LEARNING. International Journal of Advance Research and Innovative Ideas In Education, 9(3), 1463-1468.
MLA Style
Patil, Ms. Ankita Anil, et al. "RESEARCH ON HR ANALYTICS USING POWER BI AND MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, 2023, pp. 1463-1468.
IEEE Style
Ms. Ankita Anil Patil, Ms. Rashmi Mrugank Shah, Ms. Anisha Anil Khamkar, and Prof. Ashvini Ganesh Bhosale, "RESEARCH ON HR ANALYTICS USING POWER BI AND MACHINE LEARNING," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 3, pp. 1463-1468, 2023.
Vancouver Style
Patil Ms. Ankita Anil, Shah Ms. Rashmi Mrugank, Khamkar Ms. Anisha Anil, Bhosale Prof. Ashvini Ganesh. RESEARCH ON HR ANALYTICS USING POWER BI AND MACHINE LEARNING. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(3):1463-1468.
Harvard Style
Patil, Ms. Ankita Anil, Shah, Ms. Rashmi Mrugank, Khamkar, Ms. Anisha Anil, & Bhosale, Prof. Ashvini Ganesh (2023) 'RESEARCH ON HR ANALYTICS USING POWER BI AND MACHINE LEARNING', International Journal of Advance Research and Innovative Ideas In Education, 9(3), pp. 1463-1468.
Chicago Style
Patil, Ms. Ankita Anil, et al. "RESEARCH ON HR ANALYTICS USING POWER BI AND MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1463-1468.
Turabian Style
Patil, Ms. Ankita Anil, et al. "RESEARCH ON HR ANALYTICS USING POWER BI AND MACHINE LEARNING." International Journal of Advance Research and Innovative Ideas In Education 9, no. 3 (2023): 1463-1468.

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