Academia
Diploma thesis 2024Software Engineeringavtomatizacija · optimizacija · poslovni procesi

Automation of Business Processes Using RPA

In the modern business environment, companies constantly face pressures dictated by technological advancement.

Jasmin SedićRačunalništvo in informatika · module Programsko inženirstvo · supervisor mag. Ervin Schaff · defence julij 2024
In brief

The project in five facts.

AuthorJasmin Sedić
Supervisormag. Ervin Schaff
ModuleSoftware EngineeringComputer Science and Informatics
Employer / clientAcademia
Year2024julij 2024
About the project

Challenge, approach and results.

In the modern business environment, companies constantly face pressures dictated by technological advancement. This increases the need for greater efficiency, cost reduction and improved competitiveness. The analysis showed that RPA enables better process efficiency by increasing speed and accuracy in task performance, whilst reducing the possibility of human error. In the theoretical part, the diploma thesis concludes with research into the connections between RPA and big data technologies.

Problem

In the modern business environment, companies constantly face pressures dictated by technological advancement. This increases the need for greater efficiency, cost reduction and improved competitiveness. There are many different tools on the market with which companies can effectively respond to these challenges.

One such tool is robotic process automation (RPA), which enables the automation of routine repetitive tasks typically performed by employees. This technology brings numerous benefits, such as increased productivity, cost reduction and improved accuracy. In the first part, the diploma thesis focuses on researching the concepts, history and development of RPA, advantages, challenges and examples of use in various industries.

The research then shifts to evaluating the efficiency and potential of RPA for reducing costs and improving productivity in business processes.

Results

The analysis showed that RPA enables better process efficiency by increasing speed and accuracy in task performance, whilst reducing the possibility of human error. In the theoretical part, the diploma thesis concludes with research into the connections between RPA and big data technologies. In the practical part of the diploma thesis, the RPA of a specific process in insurance is presented, which was developed using the Python programming language.

This automation has been successfully integrated with the company's existing information systems. The practical implementation of this system demonstrates how automation has accelerated process execution whilst reducing employee workloads, contributing to a more efficient working environment. The concluding part of the thesis consists of two parts.

In the first part, recommendations are presented for companies wishing to implement RPA in their business environment. The recommendations are based on analysis of acquired data and case studies demonstrating the success of RPA implementation in various sectors, from financial services to healthcare. Based on the research, the implemented RPA solution and its positive results, the diploma thesis concludes with confirmation of all hypotheses set out in the disposition.

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Module Programsko inženirstvo

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