Human Resource Analytics using Power Bi Visualization Tool

Mohammed A Al Ameer · Simhadri Prem Rahul · Suneetha Manne

21 citations0/0 files storedInternational Conference on Intelligent Computing and Control Systems (ICICCS)

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

AI and HR Technologies Online Learning and Analytics Customer churn and segmentation

Abstract

Human resource(HR) management is a subject of vast knowledge in which predictive analytics is one of its main components which includes employee turnover analysis, employee work performance analysis, and training requirements analysis as results. The main purpose of Human Resource management is to measure the work achievement of employees and their role in the 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 who strive extremely for the return of investment for the organization by considering several factors which help for a better understanding of the individual by predictive analysis. Employee churn is 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 and paying attention to identify the underlying 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 such as dashboards which run machine learning models like Logistic Regression and Random Forest in background.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 21 citations exist upstream.

References

2016HR and analytics: why HR is set to fail the big data challenge 2016Prediction of Employee Turnover in Organizations using Machine Learning Algorithms 2018Employee Turnover Prediction with Machine Learning: A Reliable Approach 2019An Improved Random Forest Algorithm for Predicting Employee Turnover 2019HR ANALYTICS: A MODERN TOOL IN HR FOR PREDICTIVE DECISION MAKING 2016Human Resource Predictive Analytics (HRPA) For HR Management In Organizations

Cited by

2023Smart human resource analytics for happiness management 2023Machine Learning Algorithms for Unbalanced Dataset Promotion Prediction for Employees 2021Smart Recruiting as a Modern Tool for HR Hiring in the Context of Business Informatization 2022Improving Company Performance by The Correctness of Management Decision through Implementation Dashboard using Power BI Tools (Case Study at Company Y)

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.