04509ntm a22005897i 4500 000128685 CZ-PrVSE 20230604085439.0 m d cr n|||||||||| 230604s2023 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Kostyreva, Zoia ISIS:154813 dis Tvorba BI systému pro podporu rozhodování eng Tvorba BI systému pro podporu rozhodování / Zoia Kostyreva 2023 ?? stran : digital, PDF soubor Vedoucí práce: David Slánský Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2023 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2023 This thesis is written as a practical project for an educational platform called Hyperskill. Hyperskill is a platform for project-based learning, whose users study programming languages, mathematics, bioinformatics, and other subjects. The company has various content teams. Before the changes introduced in the course of this project, content teams’ producers used to manually calculate and manage employees’ salaries. That took a lot of time, and besides, the absence of automatically generated dashboards prevented the top management from seeing the whole picture and did not let them compare and analyze the situation in different departments. Additionally, despite various people contributing to creation of a content unit – authors of topics or projects, proofreaders, experts, and reviewers – the cost per content unit was not calculated. The only financial information that was available were the salaries of employees. It posed a problem for analysis, since an employee could be responsible for different types of tasks, not just content creation, which was not taken into account. The main goal of this master's thesis was to build a Business Intelligence system that would support management activities and decision-making. Interviews, cross-validation opponents discussion, and job story description were used as methods to determine the problems and the requirements. Based on the established requirements, a new system architecture was designed, multidimensional analysis and modeling were carried out, and a database model was created and described. Modeling and multidimensional analysis were used as methods at this stage. A substantial part of the thesis was dedicated to the implementation of the developed Business Intelligence system. This determines the practical significance of the thesis. First, the author automated the payroll process and converted data to a single, convenient format. Second, she automated the process of budget planning and actual budget collection. Third, she proposed an analytical dashboard design and the metric description for analyzing expenses in different areas, categories, etc, for identifying the cost per content unit, and determining the effectiveness of employees. Experiment, instrument and feature testing, interview, data analysis and training were used as methods at this stage. Způsob přístupu: Internet informační management [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas analytics business intelligence metrics project management reporting system architecture automation dashboards data-driven decision making Slánský, David mzk2004248941 ths Feofanova, Natalia opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/82443/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/82443 Hlavní práce https://insis.vse.cz/zp/82443/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/82443/posudek/oponent/78961 Oponentura https://insis.vse.cz/zp/82443/priloha/25500 Přiloha k práci https://insis.vse.cz/zp/82443/podrobnosti dc:identifier NEPOSILAT VSKP vse82443 230531 82443