Identifying RPA opportunities for Back Office
Jung, Jan (2020)
2020
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2020120125400
https://urn.fi/URN:NBN:fi:amk-2020120125400
Tiivistelmä
This Bachelor’s thesis was made as an assignment for the Logistics and Operations Back Office department of Company x. Company x has an ambitious growth strategy and needs to ensure successful implementation of both supply growth and production growth. There is a strong focus on building-up global capabilities, internal cooperation and external partnership to drive the growth agenda. Company x is currently undergoing a business transformation towards a more digital way of working.
The quick business growth and expansion to new methods of transportation has created a lot of manual work and a need to transfer huge amounts of work to the Back Office from Commercial Operations. The aim of this thesis project was to find a solution to recognize these new Back Office work tasks that can could be automated with the help of robotic process automatization (RPA).
The knowledge base of this thesis consists of two different sections. The first section explains the definition of RPA and introduces the UiPath –software. The second section examines how RPA is used at Company x by other departments. The material found on RPA is still limited due to it being a fairly new technology. After explaining the knowledge base, the research process is defined. Instead of a regular qualitative interview, a brainstorming session was held to compile data for this research. The brainstorming session was held remotely due to the covid-19 pandemic.
The context of the theoretical part gives a good overview of the common work tasks and how to detect the work tasks that could be automated with RPA. Even though RPA is one of the fastest growing tech trends and is heavily a part of our daily lives, not everyone is aware of its existence. This study also revealed that in a large company there can be big variations between departments in RPA knowledge. This is mainly due to departments working in silos.
The quick business growth and expansion to new methods of transportation has created a lot of manual work and a need to transfer huge amounts of work to the Back Office from Commercial Operations. The aim of this thesis project was to find a solution to recognize these new Back Office work tasks that can could be automated with the help of robotic process automatization (RPA).
The knowledge base of this thesis consists of two different sections. The first section explains the definition of RPA and introduces the UiPath –software. The second section examines how RPA is used at Company x by other departments. The material found on RPA is still limited due to it being a fairly new technology. After explaining the knowledge base, the research process is defined. Instead of a regular qualitative interview, a brainstorming session was held to compile data for this research. The brainstorming session was held remotely due to the covid-19 pandemic.
The context of the theoretical part gives a good overview of the common work tasks and how to detect the work tasks that could be automated with RPA. Even though RPA is one of the fastest growing tech trends and is heavily a part of our daily lives, not everyone is aware of its existence. This study also revealed that in a large company there can be big variations between departments in RPA knowledge. This is mainly due to departments working in silos.