Robotic Process Automation tools comparison

Thesis title: Robotic Process Automation tools comparison
Author: Alakbarli, Orkhan
Thesis type: Diploma thesis
Supervisor: Novotný, Ota
Opponents: Potančok, Martin
Thesis language: English
Abstract:
The primary goal of this work is to compare the leading platforms on the RPA market for thepre-selected business process. The research on this paper provides the description of what theRPA actually is, its pros and cons, as well as the situations when RPA is ideal to use. Further,the paper introduces the most known RPA tools available on the market. The theory issupported by the practical part where the selected tools are compared to each other. In thispart, the process of testing the tools against the pre-selected business process takes place. Asa result, all the necessary data needed for comparison is gathered.
Keywords: Business Processes Automation; RPA tools; Robotic Process Automation; RPA
Thesis title: Robotic Process Automation tools comparison
Author: Alakbarli, Orkhan
Thesis type: Diplomová práce
Supervisor: Novotný, Ota
Opponents: Potančok, Martin
Thesis language: English
Abstract:
The primary goal of this work is to compare the leading platforms on the RPA market for thepre-selected business process. The research on this paper provides the description of what theRPA actually is, its pros and cons, as well as the situations when RPA is ideal to use. Further,the paper introduces the most known RPA tools available on the market. The theory issupported by the practical part where the selected tools are compared to each other. In thispart, the process of testing the tools against the pre-selected business process takes place. Asa result, all the necessary data needed for comparison is gathered.
Keywords: RPA tools; RPA; Robotic Process Automation; Business Process Automation

Information about study

Study programme: Aplikovaná informatika/Information Systems Management
Type of study programme: Magisterský studijní program
Assigned degree: Ing.
Institutions assigning academic degree: Vysoká škola ekonomická v Praze
Faculty: Faculty of Informatics and Statistics
Department: Department of Information Technologies

Information on submission and defense

Date of assignment: 8. 10. 2018
Date of submission: 23. 4. 2019
Date of defense: 10. 6. 2019
Identifier in the InSIS system: https://insis.vse.cz/zp/67196/podrobnosti

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