Paper Title

“A STUDY ON PREDICTIVE ANALYTICS FOR CORPORATE FINANCIAL PERFORMANCE AT MICROSOFT INDIA” - HYD

Authors

G.N.SHUBHAM

Keywords

Predictive Analytics, Corporate Financial Performance, Microsoft India, Machine Learning, Financial Forecasting, Data-Driven Decision Making, Revenue Prediction, Risk Management, Business Intelligence, Strategic Planning

Abstract

This paper analyzes the application of advanced data analytics and machine learning, along with the potential of predictive analytics to enhance Microsoft India's financial planning and decision-making processes. Revenue, profitability, and cash flow are forecasted with historical financial data, market trends, and operational measures. The inquiry assesses their significance. Microsoft India use predictive models to enhance risk and opportunity evaluation, financial planning, and resource distribution. Our research indicates that predictive analytics enhances proactive activities, sustainable growth, and operational efficiency. It demonstrates how data-driven financial management may enhance corporate performance and competitiveness in the rapidly evolving technology sector.

How To Cite

"“A STUDY ON PREDICTIVE ANALYTICS FOR CORPORATE FINANCIAL PERFORMANCE AT MICROSOFT INDIA” - HYD", JETNR - JOURNAL OF EMERGING TRENDS AND NOVEL RESEARCH (www.JETNR.org), ISSN:2984-9276, Vol.4, Issue 6, page no.c479-c488, June-2026, Available :https://rjpn.org/JETNR/papers/JETNR2606280.pdf

Issue

Volume 4 Issue 6, June-2026

Pages : c479-c488

Other Publication Details

Paper Reg. ID: JETNR_235306

Published Paper Id: JETNR2606280

Downloads: 00044

Research Area: Management All

Country: Hyderabad, Telangana, India

Published Paper PDF: https://rjpn.org/JETNR/papers/JETNR2606280

Published Paper URL: https://rjpn.org/JETNR/viewpaperforall?paper=JETNR2606280

About Publisher

ISSN: 2984-9276 | IMPACT FACTOR: 9.87 Calculated By Google Scholar | ESTD YEAR: 2023

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.87 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: RJPN (IJPublication) Janvi Wave

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