TY  - THES
A3  - Vossen, Gottfried
A3  - Vossen, G.
AB  - An abundance of new analytics technologies emerged since the advent of the Big Data trend and enabled new Business Intelligence (BI) use cases, which were not possible with traditional technologies. While Data Warehouses were the primary choice for traditional BI architectures, the technology selection and architectural patterns when constructing a customized BI architecture nowadays are less clear due to the many new technological possibilities. To address this situation, design science research was conducted to outline key determinants for technology selection in BI architectures and examine architectural usage patterns including Big Data technologies. Based on this, the Goal-oriented Business Intelligence Architectures (GOBIA) method was constructed and evaluated. The GOBIA method includes a BI reference architecture, which covers both traditional and novel as well as functional and technological components. Using this, a development process supports the construction of a customized BI architecture by guiding the technology selection for a specific use case and its goals.
AU  - Fekete, David
DA  - 2020
KW  - Business Intelligence
KW  - Architekturen
KW  - ziel-orientiert
KW  - Big Data
KW  - Technologieauswahl
KW  - Analytics
KW  - business intelligence
KW  - architectures
KW  - goal-oriented
KW  - big data
KW  - technology selection
KW  - analytics
LA  - eng
N1  - Auch im Buchhandel erhältlich: The Goal-oriented Business Intelligence Architectures Method : A Process-based Approach to Combine Traditional and Novel Analytical Technologies / David Fekete. – Dortmund : readbox unipress, 2020. – xv, 530 S. (Wissenschaftliche Schriften der WWU Münster : Reihe IV ; Bd. 18), ISBN 978-3-8405-0226-2, Preis: 38,50 EUR
N1  - Zugl.: Münster (Westfalen), Univ., Diss., 2018
PY  - 2020
TI  - The Goal-oriented Business Intelligence Architectures Method: A Process-based Approach to Combine Traditional and Novel Analytical Technologies
UR  - https://nbn-resolving.org/urn:nbn:de:hbz:6-11169662922
Y2  - 2024-11-24T22:13:56
ER  -