A Study on HR Analytics for Business Excellence – A Data Driven Approach of ITC Abd Limited Species Processing Facility G3

This study investigates the application of HR analytics as a strategic tool to drive business excellence at ITC ABD Limited’s Species Processing Facility G3. By analyzing key human resource variables such as training hours, engagement levels, performance, and safety practices, the research identifies patterns and correlations that influence organizational performance. Statistical tools such as correlation analysis, regression models, and chi- square tests are used to interpret the data. The results confirm a strong relationship between employee development initiatives and business outcomes, demonstrating that HR analytics can lead to improved workforce efficiency, lower attrition, and more accurate strategic planning. The findings emphasize the importance of data-driven decision-making in enhancing HR functions and achieving long-term excellence. Keywords: HR Analytics, Business Excellence, Employee Engagement, Training, Performance Metrics, ITC ABD, Data-Driven HR, Human Capital, Regression, Factor Analysis

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-07-16
DOI
https://doi.org/10.55041/ijsrem51382
Primary Topic
AI and HR Technologies
Type
article
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article

A Study on HR Analytics for Business Excellence – A Data Driven Approach of ITC Abd Limited Species Processing Facility G3

K Vamsi Krishna, B Sai
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
AI and HR Technologies
article

A Study on HR Analytics for Business Excellence – A Data Driven Approach of ITC Abd Limited Species Processing Facility G3

K Vamsi Krishna, B Sai
article en

Abstract

This study investigates the application of HR analytics as a strategic tool to drive business excellence at ITC ABD Limited’s Species Processing Facility G3. By analyzing key human resource variables such as training hours, engagement levels, performance, and safety practices, the research identifies patterns and correlations that influence organizational performance. Statistical tools such as correlation analysis, regression models, and chi- square tests are used to interpret the data. The results confirm a strong relationship between employee development initiatives and business outcomes, demonstrating that HR analytics can lead to improved workforce efficiency, lower attrition, and more accurate strategic planning. The findings emphasize the importance of data-driven decision-making in enhancing HR functions and achieving long-term excellence. Keywords: HR Analytics, Business Excellence, Employee Engagement, Training, Performance Metrics, ITC ABD, Data-Driven HR, Human Capital, Regression, Factor Analysis

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(07)
La Maddalena (IT)
Openalex Percentile: Top 79%
AI and HR Technologies
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