Visualising Prescriptive Process Monitoring Output

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dc.contributor.advisorMilani, Fredrik Payman, juhendaja
dc.contributor.advisorNolte, Alexander Udo, juhendaja
dc.contributor.advisorKubrak, Kateryna, juhendaja
dc.contributor.authorBotchorishvili, Lana
dc.contributor.otherTartu Ülikool. Loodus- ja täppisteaduste valdkondet
dc.contributor.otherTartu Ülikool. Arvutiteaduse instituutet
dc.date.accessioned2023-10-26T07:26:44Z
dc.date.available2023-10-26T07:26:44Z
dc.date.issued2023
dc.description.abstractThe emergence of process mining in business process management has given way to developing algorithms that predict future processes based on historical event logs to improve operational efficiency. Further improvements have followed in the form of real-time prescriptive process monitoring tools, which identify volatile process instances and suggest interventions for upcoming activities to prevent risky execution. One of the main challenges of this practice is communicating interventions to end users in a clear and concise manner. This research was conducted to develop a real-time application that visualises available interventions and their impact on a process instance. The tool helps support process analysts in identifying activities that improve a KPI or circumvent a sub-optimal outcome in a process. A resulting artefact is a form of an operational dashboard - Kairos - that visualises prescriptive process monitoring output.et
dc.identifier.urihttps://hdl.handle.net/10062/93762
dc.language.isoenget
dc.publisherTartu Ülikoolet
dc.rightsopenAccesset
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectbusiness processeset
dc.subjectvisualisationet
dc.subjectprescriptive process monitoringet
dc.subject.othermagistritöödet
dc.subject.otherinformaatikaet
dc.subject.otherinfotehnoloogiaet
dc.subject.otherinformaticset
dc.subject.otherinfotechnologyet
dc.titleVisualising Prescriptive Process Monitoring Outputet
dc.typeThesiset

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