DFX 2020 31st SYMPOSIUM DESIGN FOR X
Online via Zoom and Erlangen, Germany. 16-17 September 2020. DFX 2020 offers young scientists a platform for presenting new ideas and approaches for improving product development.
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Anforderungen an ein Daten-Backend-System zur Unterstützung industrieller Datenanalyse-Anwendungen in digitalen Engineering-Prozessen dynamischer Wertschöpfungsnetzwerke
Eiden, Andreas; Gries, Jonas; Eickhoff, Thomas; Göbel, Jens C.
Type:
Year:
2020
Editor:
Dieter Krause; Kristin Paetzold; Sandro Wartzack
Author:
Series:
DfX
Institution:
Institute of Virtual Product Engineering; University of Kaiserslautern
Section:
Digital Engineering
Page(s):
81-90
DOI number:
Abstract:
Industrial data analytics needs well-structured and linked data from different data sources. The increasing mass of data, scattered IT-structures and a lack of knowledge, especially in small and medium-sized companies (SMEs) are factors that hinder the usage of data analytics. The goal of the research project AKKORD is to build a toolkit for companies to facilitate distributed and integrated industrial data analytics inside value-adding networks. A core part of this toolkit is a data backend system, which collects and links data from different source systems together in a single meta-model. This paper describes the requirements analysis of the data backend system by conducting structured interviews and workshops.
Keywords:
