Optimalizace výkonu analytické aplikace pro hodnocení výsledků a predikci vývoje celních operací u vybrané společnosti

The master's thesis builds upon the previous bachelor's thesis titled "Design and Implementation of an Analytical Application for Assessing Results and Predicting Development in the Field of Customs Operations at a Selected Company" (Nguyenová 2021) which analyzed the customs processes of the company Siemens, s.r.o. It focuses on optimizing the analytical application used for evaluating the results and predicting the development of customs operations within this company. The main objective of the thesis is a significant enhancement of the technical solution of the application to make it faster, more efficient, and capable of quick updates compared to the previous solution. This improvement is achieved by implementing a new technical solution using modern data processing and storage tools from Microsoft, which ensure automation and acceleration of the data update process, simplifying the handling of up-to-date information. This will enable users to work with the application more easily and access data without significant difficulties, allowing for the quick and efficient analysis of extensive data related to customs operations. The second major goal of this thesis is to expand the application with a "Forecast" feature in Power BI for predicting the development of customs operations. Utilizing predictive analytics and tools will enable Siemens, s.r.o. to anticipate future trends in customs operations and make informed strategic decisions. These enhancements include a detailed analysis of historical data, identification of key factors influencing customs operations, and the creation of models for predicting future developments. With these new features, the company will be better equipped to plan and optimize its customs operations based on accurate forecasts and data analysis.