MDIM Journal of Management Review and Practice
issue front

Chabi Gupta1

First Published 9 Nov 2023.
Article Information Volume 1, Issue 2 September 2023
Corresponding Author:

Chabi Gupta, CHRIST (Deemed to be University) - Delhi NCR Campus, Ghaziabad, Uttar Pradesh 201003, India.

1School of Commerce, Finance and Accountancy, Christ University, Ghaziabad, Uttar Pradesh, India

Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( which permits non-Commercial use, reproduction and distribution of the work without further permission provided the original work is attributed.


In the constantly evolving and highly competitive modern world, talent management has become a crucial aspect of any organization's success. The conventional techniques of managing human resources are no longer sufficient to cater to the ever-increasing demands for efficiency and effectiveness in operations. With advancements in automation technology coupled with HR analytics tools, businesses have an opportunity to revolutionize their approach towards talent management practices. Therefore, it is essential for companies to embrace these changes if they want to remain relevant and achieve sustainable growth in this fast-paced digital era. This research analyses using data visualization tools how automation and HR analytics can be leveraged for successful talent management in the changing business landscape. Retaining skilled employees is crucial for organizational growth, but technological advancements have made talent management more complex than ever before. We suggest investing in learning platforms which can help organizations provide advanced training programs on emerging technologies like AI and big data analytics.


Attrition, automation, HR, talent, talent management


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