Ondrej Paralič
Bachelor's thesis
Využití analýzy dat pro zlepšení procesu
Using data analytics for process optimisation
Abstract:
Data analysis is a modern form of getting valuable insights from data, by utilizing various techniques that vary according to expected outcome. The subject of this bachelor work is application of predictive and descriptive analysis to unveil the phases where a process is being held. This tight place, also called a bottleneck, leads to overall process delay. Goal of this work is to prevent creation …moreAbstract:
Dátová analýza je novodobá forma získavania cenných informácií z dát pomocou aplikovania rôznych techník, špecifických v závislosti od požadovaného výstupu. V tejto bakalárskej práci sa zaoberáme aplikáciou prediktívnej a deskriptívnej dátovej analýzy v konkrétnych firemných podmienkach. Cieľom práce je poskytnúť firme informácie, ako zefektívniť vnútro-podnikový proces od nového nápadu na inováciu …more
Language used: Slovak
Date on which the thesis was submitted / produced: 11. 5. 2020
Identifier:
https://is.muni.cz/th/zsu57/
Thesis defence
- Date of defence: 16. 6. 2020
- Supervisor: Ing. Mgr. Michal Krčál, Ph.D.
- Reader: Ing. Peter Aláč
Citation record
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Ekonomicko-správní fakultaMasaryk University
Faculty of Economics and AdministrationBachelor programme / field:
Business Informatics / Business Informatics
Theses on a related topic
-
Comparative Analysis of Multivariate Statistical Methods for Predicting Football Match Outcomes using Real Data
Job Paul Maria Bonsel -
Image Analysis Using Machine Learning Models
Norbert Komiňák -
Implementation of Sample Selection Estimators into Double Machine Learning Framework
Michaela Kecskésová -
Localization of mobile devices using machine learning
Aleš Calábek -
Exchange rates predictions using machine learning methods
Yaroslav Korobka -
Digital document analysis using machine learning methods
Nicholas Čapek -
Machine learning analysis and cataloging of extragalactic sources
Matej Kosiba -
Machine Learning for Text Anomaly Detection
Alina Tsykynovska