04074ntm a22006137i 4500 000719988 CZ-PrVSE 20250315195940.0 m d cr n|||||||||| 250315s2024 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Kellermann Slotemaker, Petra ISIS:180249 dis Product data quality excellence platform with predictive machine learning module for quality data control and automation in FMCG eng Product data quality excellence platform with predictive machine learning module for quality data control and automation in FMCG / Petra Kellermann Slotemaker 2024 ?? stran : digital, PDF soubor Vedoucí práce: Martin Potančok Závěrečná práce - Institut celoživotního vzdělávání (MBA)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2025 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2025 The aim of this thesis is to develop and implement the Product Data Quality Excellence (DQX) platform, designed to address critical needs in Nestlé CEE's product data management by revising current processes, enhancing data quality transparency, and reducing manual workload through automation of data quality control process, and ultimately achieving long-term improvement in product data quality. The research employs both secondary and primary methodologies. Secondary research involves a thorough review of existing literature, while primary research includes data analysis and iterative feedback from users. The project leverages Product DQX platform based on various programming skills and software tools, including Python, SQL, Microsoft Power BI and predictive models based on neural networks, anomaly detection, or natural language processing (NLP). The developed Product DQX platform integrates data management, ETL modules, data quality dashboards, and predictive machine learning techniques. The project achieved its objectives, by recommending several changes in data management, providing much needed transparency by data quality dashboard linked to the key KPIs and data stewards, providing insights for further data quality improvements as well as integrating automated data quality control for key attributes. The Product DQX platform provides a comprehensive, cost-effective solution for product data management matching company maturity and needs, offering tool with direct impact on data quality KPIs. Provided prototype is paving the way for further robust deployment. Způsob přístupu: Internet Product Data Quality Product Data Quality Excellence Platform Predictive Machine Learning Data Quality KPIs Data Management Neural Networks Anomaly Detection Natural Language Processing (NLP) Data Quality Dashboards Data Quality Transparency Data Quality Monitoring Data Quality in FMCG Python Programming Data Governance Data Quality Automation Potančok, Martin vse20201071395 ths Matějka, Martin ISIS:79246 opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/90687/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/90687 Hlavní práce https://insis.vse.cz/zp/90687/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/90687/posudek/oponent/84827 Oponentura https://insis.vse.cz/zp/90687/podrobnosti dc:identifier NEPOSILAT VSKP vse90687 250311 90687