UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 12 Issue 3
March-2025
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2503123


Registration ID:
556389

Page Number

b209-b223

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Title

The Analytics Advantage: Improving Retention Rates in Indias Start-Up Sector

Abstract

One of the biggest issues that have been observed with start-ups in India is that of employee attrition which currently stands at an average of 18%-25%. This paper aims to examine these identified retention challenges, in the view of answering how predictive analytics can help start-ups to avoid high levels of employee turnover. Conducted from an interpretivist perspective, the study takes an inductive and exploratory stance, that involves analysing secondary qualitative data gathered from reputable databases. Predictive analytics has been identified to enhance the rates at which employees are retained due to risk analysis and follow-up intervention. For example, where companies use predictive instruments, they are likely to see up to 25% less staff turnover. However, financial barriers, poor availability of data, and lack of sophisticated skills are the problems that prevent global use, especially among new start-ups. Recommendations are more likely to be in the form of multi-tenanted, cloud-based, predictive analytics models, building HR’s analytics capability and including predictive insights into more people-oriented processes such as career management. These steps are designed to improve relative stability in the workforce while tackling particularities in the Indian start-up environment. Thus, the findings of this study should be followed by the primary data collection for further elucidation of the discussed topic and the broadening of the usage of predictive analytics in various organisational environments.

Key Words

Retention Rate, HR Analytics Advantage, Employee Retention, Predictive Analytics, Indian Start-Ups, Workforce Attrition, HR Analytics, Risk Analysis, Employee Turnover, Cloud-Based Models, Organizational Stability, Talent Management

Cite This Article

"The Analytics Advantage: Improving Retention Rates in Indias Start-Up Sector", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.b209-b223, March-2025, Available :http://www.jetir.org/papers/JETIR2503123.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"The Analytics Advantage: Improving Retention Rates in Indias Start-Up Sector", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppb209-b223, March-2025, Available at : http://www.jetir.org/papers/JETIR2503123.pdf

Publication Details

Published Paper ID: JETIR2503123
Registration ID: 556389
Published In: Volume 12 | Issue 3 | Year March-2025
DOI (Digital Object Identifier):
Page No: b209-b223
Country: Bankura, West Bengal, India .
Area: Management
ISSN Number: 2349-5162
Publisher: IJ Publication


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