PREDICTIVE ANALYTICS FOR CORPORATE FINANCIAL PERFORMANCEWITH REFERENCE TO MICROSOFT INDIA

Authors

  • BANAVATH YASHESWIBAI Author
  • Dr. T. RAVINDER REDDY Author

Keywords:

Microsoft India, Predictive analytics, Financial performance, Data-driven decision making, Statistical models, Machine learning, Data visualization

Abstract

This investigation is grounded in data and examines the manner in which Microsoft India communicates its financial status. Predictive analytics assists businesses in succeeding in the current challenging business environment by deriving critical conclusions from historical financial data. By integrating statistical models, machine learning, and sophisticated data visualization, predictive analytics assists businesses in maintaining financial stability, making informed investment decisions, and reducing costs. Microsoft India serves as an illustration of a digital economy that is flourishing. In order to be compliant with the regulations and ensure that their strategy aligns with market demands, all businesses require prediction analytics. The research asserts that predictive models can assist in the following areas: financial planning, long-term decision-making, and risk management. Microsoft India employs predictive analytics to facilitate financial decisions that are informed by data. This results in increased stability and value over time.

Author Biographies

  • BANAVATH YASHESWIBAI

    Dept of MBA, Mother Teresa Institute of Science and Technology

  • Dr. T. RAVINDER REDDY

    Associate Professor, Dept of MBA, Mother Teresa Institute of Science and Technology, Sathupally, Khammam.

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Published

2026-05-30