Towards a Guideline Affording Overarching Knowledge Building in Data Analysis Projects
Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-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 language | English |
|---|---|
| Title of host publication | Business Information Systems |
| Pages | 49-59 |
| Number of pages | 11 |
| Volume | 1 |
| Publication status | Published - 2 Jul 2021 |
| Peer-reviewed | Yes |
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
Sustainable Development Goals
ASJC Scopus subject areas
Keywords
- Domain-Specific Information Systems Development, Knowledge Bases, Reference Model, Methodological Knowledge, Data Mining