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
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
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