03627ntm a22005657i 4500 000727807 CZ-PrVSE 20260201122909.0 m d cr n|||||||||| 260201s2025 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Privalikhin, Nikita ISIS:138760 dis Business Intelligence in High-Frequency Trading eng Business Intelligence in High-Frequency Trading / Nikita Privalikhin 2025 ?? stran : digital, PDF soubor Vedoucí práce: Martin Potančok Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2026 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2026 The aim of this work is design and implementation of Business Intelligence solution in high-frequency trading domain to improve the efficiency and transparency based on strategic needs of businesses. The work includes the definition and analysis of high-frequency trading from multiple perspectives. It examines the structure of the global financial market and particularly their segments by different classifications. Using statistics and regulatory and industrial reports, this thesis highlights markets with optimal conditions for efficient HFT operation. To fulfil the goal of the work, it is required to identify technological constraints and specifics of high-frequency trading. The second part describes common architecture of these systems and examines the internal and external data environment in detail. The output allowed to identify KPIs critical for businesses. The final practical part presents design of BI solution based on identified specifics and requirements. The proposed concept includes metadata description of datasets, dimensions, KPIs, data warehouse model and both technical and business dashboards. This work has both practical and theoretical significance. From theoretical perspective, it systemizes current knowledge about financial markets, high-frequency trading and Business Intelligence. Practically, the proposed solution can be adapted for companies operating in high-frequency trading and used as a tool to improve the transparency, efficiency and manageability of algorithms and strategies. Způsob přístupu: Internet business intelligence [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas Business Intelligence high-frequency trading financial market data analytics algorithmic trading ETL Data Warehouse Reporting Microsoft Power BI Potančok, Martin vse20201071395 ths Karkošková, Soňa ISIS:53698 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/90938/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/90938 Hlavní práce https://insis.vse.cz/zp/90938/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/90938/posudek/oponent/88889 Oponentura https://insis.vse.cz/zp/90938/podrobnosti dc:identifier NEPOSILAT VSKP vse90938 260120 90938