On April 30, 2024, the Department of Business Administration orchestrated a highly anticipated international workshop titled “Multivariate Statistical Data Analysis with its Applications.” Held at [University Name], this event brought together esteemed presenters and eager participants to explore the intricacies of statistical analysis in contemporary business contexts.
Dr. C. Ganeshkumar, Associate Professor at the Indian Institute of Foreign Trade (IIFT), New Delhi, India, and Dr. M. Prabhu, Assistant Professor in the Department of Business Administration, led the workshop with expertise and enthusiasm. Divided into two enlightening sessions, attendees were treated to a comprehensive overview of essential statistical techniques.
Dr. C. Ganeshkumar commenced the workshop with a captivating exploration of multiple regression and cluster analysis. Drawing from his extensive experience, he delved into the principles and practical applications of these techniques, shedding light on their significance in modern business analytics.
In the second session, Dr. M. Prabhu took the stage to discuss the nuances of factor analysis. With clarity and precision, Dr. Prabhu elucidated the intricacies of this powerful statistical tool, offering insights into its role in uncovering underlying dimensions within datasets.
Throughout the workshop, attendees actively engaged with the presenters, posing insightful questions and participating in stimulating discussions. The interactive nature of the event fostered a dynamic learning environment, allowing participants to deepen their understanding of multivariate statistical analysis.
The international workshop on “Multivariate Statistical Data Analysis with its Applications” was a resounding success, thanks to the expertise and dedication of Dr. C. Ganeshkumar and Dr. M. Prabhu, as well as the enthusiastic participation of attendees. As businesses continue to grapple with complex data sets and evolving analytical challenges, the insights gleaned from this workshop are poised to inform and empower decision-making processes across industries.
