Leveraging Textual Information for Improving Decision-Making in the Business Process Lifecycle
Autor: | Jan Heitmann, Ralf-Christian Härting, Franziska Blum, Michael Möhring, Rainer Schmidt, Alfred Zimmermann |
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Jazyk: | angličtina |
Rok vydání: | 2015 |
Předmět: | |
Zdroj: | Intelligent Decision Technologies ISBN: 9783319198569 KES-IDT |
DOI: | 10.13140/rg.2.1.2111.0886 |
Popis: | Business process implementations fail, because requirements are elicited incompletely. At the same time, a huge amount of unstructured data is not used for decision-making during the business process lifecycle. Data from questionnaires and interviews is collected but not exploited because the effort doing so is too high. Therefore, this paper shows how to leverage textual information for improving decision making in the business process lifecycle. To do so, text mining is used for analyzing questionnaires and interviews. |
Databáze: | OpenAIRE |
Externí odkaz: |
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