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Visual analytics for knowledge management

  • The management of knowledge in organizations considers both established long-term processes and cooperation in agile project teams. Since knowledge can be both tacit and explicit, its transfer from the individual to the organizational knowledge base poses a challenge in organizations. This challenge increases when the fluctuation of knowledge carriers is exceptionally high. Especially in large projects in which external consultants are involved, there is a risk that critical, company-relevant knowledge generated in the project will leave the company with the external knowledge carrier and thus be lost. In this paper, we show the advantages of an early warning system for knowledge management to avoid this loss. In particular, the potential of visual analytics in the context of knowledge management systems is presented and discussed. We present a project for the development of a business-critical software system and discuss the first implementations and results.

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Verfasserangaben:Gergana Vladova, André Ullrich, Eldar Sultanow, Marinho Tobolla, Sebastian Sebrak, Christian Czarnecki, Carsten Brockmann
DOI:https://doi.org/10.18420/inf2023_187
ISBN:978-3-88579-731-9
ISSN:1617-5468
Titel des übergeordneten Werkes (Englisch):INFORMATIK 2023 - Designing Futures: Zukünfte gestalten
Verlag:GI - Gesellschaft für Informatik
Verlagsort:Bonn
Dokumentart:Konferenzveröffentlichung
Sprache:Englisch
Erscheinungsjahr:2023
Datum der Publikation (Server):11.07.2024
Erste Seite:1851
Letzte Seite:1870
Bemerkung:
INFORMATIK 2023, 26. - 29. September 2023, Berlin
Link:https://doi.org/10.18420/inf2023_187
Zugriffsart:weltweit
Fachbereiche und Einrichtungen:FH Aachen / Fachbereich Elektrotechnik und Informationstechnik
collections:Verlag / GI - Gesellschaft für Informatik