Towards a Guideline Affording Overarching Knowledge Building in Data Analysis Projects

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

Abstract

Tight and competitive market situations pose a serious challenge to enterprises in the manufacturing industry domain. Competing in the use of data analytics to enhance products and processes requires additional resources to deal with the complexity. On the contrary, the possibilities afforded by digitization and data analysis-based approaches make for a valuable asset. In this paper we suggest a guideline to a systematic course of action for the data-based creation of holistic insight. Building an overlaying corpus of knowledge accelerates the learning curve within specific projects as well as across projects by exceeding the project-specific view towards an integrated approach.

Details

OriginalspracheEnglisch
TitelBusiness Information Systems
Seiten49-59
Seitenumfang11
Band1
PublikationsstatusVeröffentlicht - 2 Juli 2021
Peer-Review-StatusJa

Externe IDs

Scopus 85129544783

Schlagworte

Forschungsprofillinien der TU Dresden

DFG-Fachsystematik nach Fachkollegium

Fächergruppen, Lehr- und Forschungsbereiche, Fachgebiete nach Destatis

Ziele für nachhaltige Entwicklung

Schlagwörter

  • Domain-Specific Information Systems Development, Knowledge Bases, Reference Model, Methodological Knowledge, Data Mining