ANALYZING ECONOMIC TRENDS AND THEIR IMPACT ON STRATEGIC FINANCIAL DECISION-MAKING FOR BUSINESSES"

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  • NUDRAT FARIHA, MOHAMMED SHAHADAT HOSEN, SUSMITA PAUL, MOHAMMAD SUDIPTA PAUL, HUMERA KHAN

Abstract

The main analytical tool in this study is predictive analytics for analyzing historical economic records that combines with real-time data when performing risk monitoring and opportunity identification. The artificial intelligence analytics lower market risks, which supports long-term expansion, according to the study findings. The increasing complexity of global economic conditions necessitates the adoption of AI and data-driven management in strategic financial decision-making. Numerous organizations make use of analytics tools to study economic patterns simultaneously while improving their financial planning abilities and assessment-based choices. The implementation of AI predictions by financial organizations and policymakers requires organizations. The operational processes of their AI models because of increased decision-making demands. AI technology boosts financial plan confidence. It reveals to businesses and regulatory groups what AI predictions entail to preserve auditing standards. AI systems linked with blockchain technology create systems that measure economic data while strengthening security measures so data stays secure and complete. Blockchain ensures economic data stays untampered through its capability to supply truthful information for AI models. The ability of financial institutions and government agencies to improve their economic planning. AI systems that apply data analysis enabled new forecasting approaches to deliver modern prediction capabilities to economic outcome evaluations. It helps to improve efficiency for business leaders and policymakers.

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NUDRAT FARIHA, MOHAMMED SHAHADAT HOSEN, SUSMITA PAUL, MOHAMMAD SUDIPTA PAUL, HUMERA KHAN. (2025). ANALYZING ECONOMIC TRENDS AND THEIR IMPACT ON STRATEGIC FINANCIAL DECISION-MAKING FOR BUSINESSES". TPM – Testing, Psychometrics, Methodology in Applied Psychology, 32(3- September), 1431–1440. Retrieved from https://tpmap.org/submission/index.php/tpm/article/view/4291

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