Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
This Tool focuses on predicting startup survival by leveraging business analytics and machine learning techniques. Traditional methods of evaluating startup success are often subjective and time-consuming. The proposed system enables efficient analysis of startup data by identifying key factors influencing success or failure. It processes financial, market, and operational data to generate predictive insights. The system provides dashboards, real-time analysis, and automated reports to support decision-making. It is particularly useful for entrepreneurs, investors, and small organizations seeking data-driven strategies for improving startup sustainability.
Keywords:
NILL
Cite Article:
"STARTUP SURVIVAL PREDICTION USING BUSINESS ANALYTICS", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.b879-b883, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604257.pdf
Downloads:
000205507
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator