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DOI: 10.5445/IR/1000083113
Veröffentlicht am 07.06.2018

Increasing Information Visualization Compliance in Self-service Business Intelligence with User Assistance Systems

Schelkle, Michael; Grund, Christian Karl; Aurnhammer, Lena Anja Eleonore

Abstract (englisch):
Self-Service Business Intelligence (SSBI) is increasingly used in organizations. While enabling layper-sons in report design to create their own reports in a timely manner, studies show that Business In-formation Visualization (BIV) is often inappropriately applied in these reports. This may lead decision makers to wrong conclusions. As a result, companies start to establish BIV governance frameworks, which employees are expected to comply with when designing reports. For this, they often provide employees with documentations about which guidelines to comply with. However, since employees may perceive this as additional effort with limited benefit, they may opt to simply not comply. If they are instead equipped with software that provides the functionality to comply, this software often lacks a description of the benefits of this compliance. To overcome this, user assistance systems (UAS) could be used, since they may both reduce the effort to comply as well as describe the usefulness of compli-ance. To investigate this issue, we developed a prototypical UAS for BIV, suggest a design for a la-boratory experiment, and present finding ... mehr

Zugehörige Institution(en) am KIT Institut für Informationswirtschaft und Marketing (IISM)
Publikationstyp Proceedingsbeitrag
Jahr 2018
Sprache Englisch
Identifikator ISSN: 2194-1629
URN: urn:nbn:de:swb:90-831133
KITopen ID: 1000083113
Erschienen in Proceedings of the Workshop on Designing User Assistance in Interactive Intelligent Systems, Portsmouth, UK, 2018
Verlag KIT, Karlsruhe
Seiten 44-54
Serie KIT Scientific Working Papers ; 93
Bemerkung zur Veröffentlichung Affiliation: University of Augsburg, Augsburg, Germany
Schlagworte User Assistance Systems, Business Information Visualization Guidelines, Compliance, Self-Service Business Intelligence, Design Science Research
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