Integration of statistical methods and modern software in business process analytics
DOI:
https://doi.org/10.5281/zenodo.14740779Keywords:
data analytics, trend forecasting, process optimization, managerial decisions, strategic planningAbstract
The integration of statistical methods and modern software solutions into the analysis of business processes is the most important component of modern scientific approaches to the management of corporate structures in the context of globalization and digitalization of the economy. The article emphasizes the conceptual significance of using statistical approaches for in-depth analysis of economic activity, accurate forecasting of future development trends and optimization of enterprise activities in accordance with modern challenges. The development, adaptation and implementation of statistical methods into business processes allow for the effective analysis of large volumes of data and provide a reliable basis for decision-making in the field of quality management. This approach contributes to the achievement of the strategic goals of the organization in a dynamic external environment. In addition, the use of various statistical methods and software, including specialized analytical platforms, provides companies with tools for predicting changes, identifying bottlenecks in business processes, optimizing workflows and increasing productivity. Such measures not only reduce resource and time costs, but also provide a competitive advantage in the market. The focus of the study is on the theoretical and practical justification of the role of statistical methods in strategic planning, business process management, and their impact on the overall effectiveness of the company. Important aspects of the use of analytical approaches to data analysis are considered, including the identification of correlation patterns, evaluation of data sets, trend analysis, creation of predictive models and their importance for making effective management decisions. The results show that the integration of statistical methods significantly increases operational efficiency, contributes to the automation of routine processes, reduction of risks and costs, optimization of management processes. These improvements increase the competitiveness, adaptability of companies to market changes and sustainable development. Thus, the study confirms the fundamental importance of business process analysis for ensuring strategic success and developing scientifically sound approaches to management in the complex conditions of the modern business environment.
