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dc.contributor.authorZhang, Hankuan
dc.description.abstractNowadays, data visualization is becoming an essential part of data analysis. Business Intelligence Visualization (BIV) is a powerful tool that helps modern business flows faster and smoother than ever before. However, studies on BIV evaluation are severely lacking; most evaluation studies for BIV is guided by general principles of usability, which have limited aspects covered for customers’ needs. The purpose of this research is to develop a framework that evaluates BIV, including decision-making experience. First, we did a literature review for good understanding of research progress on related fields, and established a conceptual framework. Second, we performed a user study that implemented this framework with a set of questionnaires to demonstrate how our framework can be used in real business. Our result proved that this framework can catch differences among different designs of BIV from the users’ standpoints. This can help design BIV and promote better decision-makings on business affairs.en_US
dc.publisherNorth Dakota State Universityen_US
dc.rightsNDSU policy 190.6.2en_US
dc.titleAn Evaluation Framework for Business Intelligence Visualizationen_US
dc.typeThesisen_US
dc.date.accessioned2023-12-20T16:21:17Z
dc.date.available2023-12-20T16:21:17Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/10365/33391
dc.subjectBusiness Intelligenceen_US
dc.subjectEvaluationen_US
dc.subjectFrameworken_US
dc.subjectUser Experienceen_US
dc.subjectVisualizationen_US
dc.rights.urihttps://www.ndsu.edu/fileadmin/policy/190.pdfen_US
ndsu.degreeMaster of Science (MS)en_US
ndsu.collegeBusinessen_US
ndsu.departmentComputer Scienceen_US
ndsu.programComputer Scienceen_US
ndsu.advisorZhang, Limin


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