The GOBIA method: Towards goal-oriented business intelligence architectures

Fekete D., Vossen G.


Abstract
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.

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



Publication type
Conference paper

Peer reviewed
Yes

Publication status
Published

Year
2015

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

Venue
Trier, Deutschland

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

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

Start page
409

End page
418

Pages range
409-418

Volume
1458

Title of series
Learning, Knowledge, Adaptation

Publisher
CEUR-WS

Place
Trier, Germany

Language
English

ISSN
1613-0073

Full text

Affiliation
ERCIS; University of Waikato