Designing a Conversational Agent for Self-Service Business Intelligence

dc.contributor.authorRodrigues, Bruno
dc.contributor.mentorHinkelmann, Knut
dc.contributor.mentorWitschel, Hans Friedrich
dc.date.accessioned2023-12-22T15:38:01Z
dc.date.available2023-12-22T15:38:01Z
dc.date.issued2019
dc.description.abstractThe quantity of data processed in order to achieve business purposes has been increasing immensely in the last decades. The complexity and interdependence of the most varied areas within companies defy the management capability of knowledge workers - Human beings still seek simplicity and comfort to evaluate situations, their possible outcomes and how to take the best course of action for their respective goals. Business Intelligence applications try to diminish this complexity allowing users to visualize and browse data in the way they find appropriate. Latterly, Self-Service Business Intelligence (SSBI) is gaining momentum: Users are encouraged to interact more intensely with the data (building reports, browsing data, and creating visualizations) by themselves....
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/39843
dc.language.isoen
dc.publisherHochschule für Wirtschaft FHNW
dc.spatialOlten
dc.subject.ddc330 - Wirtschaft
dc.titleDesigning a Conversational Agent for Self-Service Business Intelligence
dc.type11 - Studentische Arbeit
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.PublishedSwitzerlandYes
fhnw.StudentsWorkTypeMaster
fhnw.affiliation.hochschuleHochschule für Wirtschaft FHNWde_CH
fhnw.affiliation.institutMaster of Science
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relation.isMentorOfPublication4f94a17c-9d05-433c-882f-68f062e0e6ae
relation.isMentorOfPublication.latestForDiscovery6898bec4-c71c-491e-b5f8-2b1cba9cfa00
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