Cased Based Reasoning in Business Process Management Design

Dissertation presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Information Systems and Technologies ManagementArtificial intelligence became increasingly useful since the 1990s, trying to imitate the human brain with its thinking, reasoning, and learning using the key concepts of machine learning, deep learning, and artificial neural networks. Case-based reasoning (CBR), another form of artificial intelligence, stores and retrieves past cases that can be adapted to find a solution to a current problem. The new solution can then be retained and made available to solve other future problems. Business Process Management (BPM) analyzes and optimizes business processes to make them more effective and efficient for an organization’s strategy to ultimately increasing shareholder value. CBR can help to support BPM, making better decisions with existing knowledge when solving process problems. This study investigates effectively store, retrieve, and adapt Business Process Management Notation (BPMN) solutions that best fit the underlying BPM problem using case-based reasoning as a tool. Therefore, a theoretical model was proposed, containing each CBR live cycle phase with different possible tools applied to BPMN diagrams, which was validated by expert interviews. This study concludes that a whole CBR life cycle can be applied to BPMN diagram problems with the need for human intervention. This work did not have the objective to solve the whole problem but to contribute to a possible solution by using CBR through a theoretical model

Customer Review Analysis

Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced Analytics, specialization in Data ScienceOver the last years, Cerascreen has grown rapidly and expanded into more than 20 countries, always focusing on offering more diverse products, supplements, and services. Unfortunately, it collected a lot of data during these years, which was not yet stored, losing valuable insights. In a new initiative Cerascreen wants to be the most trusted digital predictive health platform. Therefore, it intends to utilize its data to understand its customers better and offer superior products and services according to the customer’s needs. The focus of this internship report was to find a way to analyze Cerascreen’s customers’ reviews to understand its customers better and respond to properly the given feedback. In addition, since the reviews have not been stored before, this report also deals with review retrieval. An exploratory data analysis of the reviews’ ratings and texts was conducted to find the first significant insights. The investigation found that although the overall review consensus was positive, it differed by country, while the reviews’ length was related to their ratings. A topic model was developed to find more information on what customers are talking about. The Model was able to find several different topics, including product-, supplement-, and servicespecific reviews. Lastly, a newly created key performance indicator about customers satisfaction uses the new insights about the ratings and the review topics, which a dashboard partially visualized through a dashboard

Cased Based Reasoning in Business Process Management Design

Tueschen, P., & dos Santos, V. D. (2021). Cased Based Reasoning in Business Process Management Design. In R. Silhavy (Ed.), Artificial Intelligence in Intelligent Systems - Proceedings of 10th Computer Science On-line Conference, 2021 (Vol. 2, pp. 722-741). (Lecture Notes in Networks and Systems; Vol. 229). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-77445-5_65Case-based reasoning (CBR), another form of artificial intelligence, stores and retrieves past cases that can be adapted to find a solution to a current problem. The new solution can then be retained and made available to solve other future problems. Business Process Management analyzes and optimizes business processes to make them more effective and efficient for an organization’s strategy to ultimately increasing shareholder value. CBR can help to support BPM, making better decisions with existing knowledge when solving process problems. This study investigates effectively store, retrieve, and adapt Business Process Management Notation (BPMN) solutions that best fit the underlying BPM problem using CBR as a tool. Therefore, a theoretical model was proposed, containing each CBR live cycle phase with different possible tools applied to BPMN diagrams, which was validated by expert interviews. This study concludes that a whole CBR life cycle can be applied to BPMN diagram problems with the need for human intervention. The objective was not to solve the whole problem but to contribute to a possible solution by using CBR through a theoretical model.authorsversionpublishe