The GOBIA method: Towards goal-oriented business intelligence architectures

Fekete D., Vossen G.


Zusammenfassung
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.

Schlüsselwörter
Business Intelligence Architectures; Data Warehousing; Big Data; GOBIA



Publikationstyp
Aufsatz (Konferenz)

Begutachtet
Ja

Publikationsstatus
Veröffentlicht

Jahr
2015

Konferenz
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

Konferenzort
Trier, Deutschland

Buchtitel
Proceedings of the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB

Herausgeber
Bergmann R., Görg S., Müller G.

Erste Seite
409

Letzte Seite
418

Seiten
409-418

Band
1458

Reihe
Learning, Knowledge, Adaptation

Verlag
CEUR-WS

Ort
Trier, Germany

Sprache
Englisch

ISSN
1613-0073

Gesamter Text

Affiliierungen
ERCIS; University of Waikato