Financial administration of the enterprise based on analytical methods, decision-making models, and control

Анотація

The article examines the theoretical, methodological, and applied foundations for improving enterprise financial administration through the integration of analytical and control instruments with modern forecasting methods and digital technologies. It is substantiated that, under conditions of high economic dynamism, globalization, and digitalization, traditional approaches to financial management do not ensure the necessary speed, accuracy, and comprehensiveness of decision-making, which necessitates the formation of an integrated system of financial administration. The essence of analytical aspects is revealed as a set of methods for collecting, processing, and interpreting financial information using economic-mathematical models, statistical methods, financial ratios, and scenario modeling. Control aspects are defined as systematic supervision over the compliance of financial activities with established standards and policies, ensuring timely detection of deviations and risk minimization. Special attention is given to scenario modeling as an effective tool for assessing the impact of external and internal factors on financial outcomes. An algorithm for scenario modeling has been developed, transforming this instrument into a continuously operating management loop that enables the financial department to function in real time. A practical calculation model is presented using the example of LLC “Soniachnyi Khlib,” which demonstrates the influence of external factors (such as raw material price increases) and internal factors (such as intensified marketing activities) on net profit, profitability, and asset utilization efficiency. The calculations confirm that scenario modeling, combined with financial ratios, provides not only a quantitative assessment of deviations but also a qualitative interpretation of them. Six key directions for enhancing the effectiveness of financial administration are systematized: integration of analytics and control, application of modern forecasting models, digitalization of processes, strengthening internal audit, comprehensive use of financial ratios, and the implementation of artificial intelligence and machine learning. Particular emphasis is placed on the need to improve the scientific and practical training of specialists as a foundation for implementing these instruments. It is concluded that effective financial administration is achieved through the systematic integration of analytics, control, and digital technologies, enabling the transition from reactive to proactive management, thereby ensuring the sustainability, transparency, and competitiveness of the enterprise under conditions of economic instability.

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