The GOBIA method: Towards goal-oriented business intelligence architectures
Fekete D., Vossen G.
Research article in edited proceedings (conference) | Peer reviewedAbstract
Traditional Data Warehouse (DWH) architectures are challenged by numerous novel Big Data products. These tools are typically presented as alternatives or extensions for one or more of the layers of a typical DWH reference architecture. Still, there is no established joint reference architecture for both DWH and Big Data that is inherently aligned with business goals as implied by Business Intelligence (BI) projects. In this paper, a work-in-progress approach towards such custom BI architectures, the GOBIA method, is presented to address this gap, combining a BI reference architecture and a development process.
Details about the publication
Publisher: Bergmann R., Görg S., Müller G.
Book title: Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB
Page range: 409-418
Publishing company: CEUR-WS
Place of publication: Trier, Germany
Title of series: Learning, Knowledge, Adaptation (ISSN: 1613-0073)
Volume of series: 1458
Status: Published
Release year: 2015
Language in which the publication is written: English
Conference: Learning, Knowledge, Adaptation Workshops, LWA 2015: Knowledge Discovery, Data Mining and Machine Learning, KDML 2015, Knowledge Management, FGWM 2015, Information Retrieval, IR 2015 and Database Systems, FGDB 2015, Trier, Deutschland, undefined
Link to the full text: http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84944342704&origin=inward
Keywords: Business Intelligence Architectures; Data Warehousing; Big Data; GOBIA
Authors from the University of Münster
| Fekete, David | Databases and Information Systems Group (DBIS) |
| Vossen, Gottfried | Databases and Information Systems Group (DBIS) |