HR Analytics: Employee Attrition Analysis using Power BI, R Studio and SPSS

Author:

Mr. A. Prasanth 1,Mr. A. Prasanth 2

Affiliation:

1. Hindusthan College of Engineering and Technology, Coimbatore, India

2. Hindusthan College of Engineering and Technology, Coimbatore ,India

Abstract

Employee attrition can become a serious issue because of the impacts on the organization’s competitive advantage. It can become costly for an organization. The cost of employee attrition would be the cost related to the human resources life cycle, lost knowledge, employee morale, and organizational culture. This study aimed to analyze employee attrition. The result obtained can be used by the management to understand what modifications they should perform to the workplace to get most of their workers to stay. The data for the study were around one thousand four Hundred employees. I collect the employee details from the organization and using Power BI for making visuals with the use of various kind of charts and analyzing the employee attrition using SPSS. The study has six steps: (1) data collection, (2) data pre-processing, (3) data analysis, (4) Making Visuals, (5) Identifying key factors, (6) Generate insights and recommendation, and (7) Analysis using SPSS. Remember that each organization's attrition analysis process may vary based on specific goals, available data, and resources. It's important to tailor the analysis approach to meet the unique needs of your organization.

Publisher

Naksh Solutions

Subject

General Medicine

Reference12 articles.

1. [1] Mishra S N, Lama D R and Pal Y 2016 Human Resource Predictive Analytics (HRPA) for HR Management in Organizations International Journal Of Scientific & Technology Research 5(5) 33-35

2. [2] Marler J H and Boudreau J W 2016 An evidence-based review of HR Analytics The International Journal of Human Resource Management 28(1) 3-26

3. [3] Hoffman M and Tadelis S 2018 People Management Skills, Employee Attrition, and Manager Rewards: An Empirical Analysis National Bureau of Economic Research

4. [4] Frye A, Boomhower C, Smith M, Vitovsky L and Fabricant S 2018 Employee Attrition: What Makes an Employee Quit? MU Data Science Review 1(1)

5. [5] Raja D V A J and Kumar R A R 2016 A Study To Reduce Employee Attrition in IT Industries International Journal of Marketing and Human Resource Management (IJMHRM) 7(1) 1-14

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