03414ntm a22005657i 4500 000714129 CZ-PrVSE 20240608092444.0 m d cr n|||||||||| 240608s2024 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Babak, Mariia ISIS:172142 dis Doplnění stávajícího systému SAP o grafovou databází eng Improving an existing SAP system with an additional graph database / Mariia Babak 2024 ?? stran : digital, PDF soubor Vedoucí práce: Marek Dudáš Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2024 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2024 The master thesis investigates the possibilities of graph databases for the Order-to-cash business process. The thesis aims to assess the comparative effectiveness of graph databases versus traditional relational databases and develop and implement proof of concept for graph database solution based on SAP ERP logic. This solution includes enhancing the ability to analyze and visualize complex data relationships by applying graph database technology. The thesis describes the development and challenges of implementing a new graph database solution using Neo4J to enhance monthly reporting for existing firm. This includes the creation of data architecture, nodes and edges schema, and an ETL pipeline implemented in Python. The features of the Neo4J tool demonstrate the functionality focusing on visualization analysis of the newly developed solution. As an example of Cypher query possibilities, this work uses recommendations analysis, which shows the potential for further analytical capabilities. The thesis concludes with testing the solution with employees using the System Usability Scale method and suggests future improvements for integrating the SAP system with the developed graph database. The final sections reflect on the implications of the findings and propose areas for further research. Způsob přístupu: Internet data a analytika pro business [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas SAP Neo4j Neo4j Bloom graph database visualization ETL Python analyses Dudáš, Marek ISIS:53808 ths Nguyen, Viet Bach ISIS:115569 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/86953/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/86953 Hlavní práce https://insis.vse.cz/zp/86953/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/86953/posudek/oponent/82322 Oponentura https://insis.vse.cz/zp/86953/priloha/28376 Přiloha k práci https://insis.vse.cz/zp/86953/podrobnosti dc:identifier NEPOSILAT VSKP vse86953 240604 86953