Towards a Guideline Affording Overarching Knowledge Building in Data Analysis Projects

Research output: Contribution to book/Conference proceedings/Anthology/ReportConference contributionContributedpeer-review

Contributors

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

Original languageEnglish
Title of host publicationBusiness Information Systems
Pages49-59
Number of pages11
Volume1
Publication statusPublished - 2 Jul 2021
Peer-reviewedYes

External IDs

Scopus 85129544783

Keywords

Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards

Subject groups, research areas, subject areas according to Destatis

Keywords

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