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Developing a structured methodology to help companies prepare their processes for a successful RPA implementation using BPM concepts

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Resumo(s)

This master’s thesis presents a detailed methodology for Robotic Process Automation (RPA) implementation using Business Process Management (BPM) techniques and its core principles. The study addresses the need for a structured approach to implement RPA using BPM to help improving the processes before automating. This study will use the Design Science Research (DSR) approach to create a framework, a step-by-step guide, that will help companies achieve the results expected through automation. The study is relevant because it addresses the increasingly growing adoption of RPA in businesses and the lack of academic studies on the subject, especially if paired with BPM concepts. This structured methodology will also help avoiding common problems such as targeting the wrong processes for automation.

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Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Business Analytics

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Robotic Process Automation Business Process Management Requirement Analysis Process Design Process Optimization

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