Designing a Conversational Agent for Self-Service Business Intelligence
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2019
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Master
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11 - Student thesis
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Hochschule für Wirtschaft FHNW
Place of publication / Event location
Olten
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Abstract
The 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....
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330 - Wirtschaft
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English
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Yes
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Review
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Citation
RODRIGUES, Bruno, 2019. Designing a Conversational Agent for Self-Service Business Intelligence. Olten: Hochschule für Wirtschaft FHNW. Verfügbar unter: https://irf.fhnw.ch/handle/11654/39843