03318ntm a22005297i 4500 000724214 CZ-PrVSE 20250621144446.0 m d cr n|||||||||| 250621s2025 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Úředníček, Jan Adam ISIS:162157 dis Analysis of factors affecting client profitability eng ANALYSIS OF FACTORS AFFECTING CLIENT PROFITABILITY / Jan Adam Úředníček 2025 ?? stran : digital, PDF soubor Vedoucí práce: Pavel Zimmermann Bakalářská práce (Bc.)—Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky, 2025 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2025 This thesis investigates the effects of identifying and quantifying key financial and behavioral features on the prediction of Gross Income (GI) for micro and small segment enterprises at Raiffeisenbank. For this purpose, machine learning regression models are employed, utilizing client-level data on various financial activities, transactional behavior, and static attributes, along with the target variable of average gross income. The analysis focuses on identifying the most influential features and evaluating the predictive performance of different models. The three main findings are that (i) machine learning models can effectively predict a significant portion of the variability in GI, (ii) certain client financial and behavioral features, such as average asset and liability volumes, income, and international payment activity, emerge as strong positive predictors of GI, and (iii) a carefully selected subset of the most important features can achieve comparable or even slightly better predictive performance than models utilizing the entire feature set. This thesis represents an initial data-driven investigation into the drivers of Gross Income within Raiffeisenbank's micro and small enterprise client base using modern machine learning techniques. Způsob přístupu: Internet data analytics [obor bakal. práce] bakalářské práce fd132403 czenas bachelor's theses eczenas Banking Machine Learning Feature Importance Gross Income Prediction XGBoost Zimmermann, Pavel, 1980- jo20251268570 ths Sládek, Václav opn Vysoká škola ekonomická v Praze. Fakulta informatiky a statistiky kn20010709399 dgg https://insis.vse.cz/zp/92325/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/92325 Hlavní práce https://insis.vse.cz/zp/92325/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/92325/posudek/oponent/86894 Oponentura https://insis.vse.cz/zp/92325/priloha/31443 Přiloha k práci https://insis.vse.cz/zp/92325/podrobnosti dc:identifier NEPOSILAT VSKP vse92325 250618 92325