Business Rules Management and Decision Mining - Filling in the Gaps

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dc.contributor.authorLeewis, Sam
dc.contributor.authorSmit, Koen
dc.contributor.authorBerkhout, Matthijs
dc.date.accessioned2021-12-24T18:16:37Z
dc.date.available2021-12-24T18:16:37Z
dc.date.issued2022-01-04
dc.description.abstractProper decision-making is one of the most important capabilities of an organization. Adequately managing these decisions is therefore of high importance. Business Rules Management (BRM) is an approach that helps in managing decisions and underlying business logic. However, questions still arise if the decisions are properly improved based on decision data. Decision Mining (DM) could complement BRM capabilities in order to improve towards effective and efficient decision-making. In this study, we propose the integration of BRM and DM through a simulation using a government and a healthcare case. During this simulation, three entry points are presented that describe how decision-related data should be utilized between BRM capabilities and DM phases to be able to integrate them. The presented results provide a basis from which more technical research on the three DM phases can be further explored.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2022.755
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/80095
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBusiness Rule Management Technologies
dc.subjectbusiness rules management
dc.subjectcycle
dc.subjectdecision management
dc.subjectdecision mining
dc.subjectimprovement
dc.titleBusiness Rules Management and Decision Mining - Filling in the Gaps
dc.type.dcmiText

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