In the current challenging business world, there is a need for companies to support their operations through financial analysis. Within this empirical study, the effects of predictive, prescriptive, and regression models on financial performance, cost optimization, and risk management are examined. Pursuant to the analysis of real-time financial data, time series forecasting, and Monte Carlo simulations, this research offers practical recommendations for increasing profitability and managing risks to businesses. The findings underscore the relevance of the use of data in the making of sound business decisions. In addition, prescriptive analytics provide a blueprint of proper investment to be made in any given market, especially in volatile environments. This research contributes to the enhancement of the understanding of how financial analytics may be adopted in the strategic management’s major strategic directions and the sound growth of the company.
Download
Download XML