Analytics-Enabled Adaptive Business Architecture Modeling
In a changing competitive business landscape, organizations are challenged by traditional processes and static document-driven business architecture models or artifacts. This marks the need for a more adaptive and analytics-enabled approach to business architecture. This article proposes a framework...
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| Format: | Article |
| Language: | English |
| Published: |
Riga Technical University Press
2020-07-01
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| Series: | Complex Systems Informatics and Modeling Quarterly |
| Subjects: | |
| Online Access: | https://csimq-journals.rtu.lv/article/view/4046 |
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| _version_ | 1850253559418847232 |
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| author | Shreya Srinivas Asif Qumer Gill Terry Roach |
| author_facet | Shreya Srinivas Asif Qumer Gill Terry Roach |
| author_sort | Shreya Srinivas |
| collection | DOAJ |
| description | In a changing competitive business landscape, organizations are challenged by traditional processes and static document-driven business architecture models or artifacts. This marks the need for a more adaptive and analytics-enabled approach to business architecture. This article proposes a framework for adaptive business architecture modeling to address this critical concern. This research is conducted in an Australian business architecture organization using the action design research (ADR) method. The applicability of the proposed approach was demonstrated through its use in a health insurance business architecture case study using the Tableau and Jalapeno business architecture modeling platform. The proposed approach seems feasible to process business architecture data for generating essential insights and actions for adaptation. |
| format | Article |
| id | doaj-art-6ea56988d6aa428a9d21491db2bcbc58 |
| institution | OA Journals |
| issn | 2255-9922 |
| language | English |
| publishDate | 2020-07-01 |
| publisher | Riga Technical University Press |
| record_format | Article |
| series | Complex Systems Informatics and Modeling Quarterly |
| spelling | doaj-art-6ea56988d6aa428a9d21491db2bcbc582025-08-20T01:57:20ZengRiga Technical University PressComplex Systems Informatics and Modeling Quarterly2255-99222020-07-01023234310.7250/csimq.2020-23.032248Analytics-Enabled Adaptive Business Architecture ModelingShreya Srinivas0Asif Qumer Gill1Terry Roach2School of Computer Science, University of Technology Sydney, 15 Broadway, Ultimo NSW 2007School of Computer Science, University of Technology Sydney, 15 Broadway, Ultimo NSW 2007Capsifi, 61 York St, Sydney 2000In a changing competitive business landscape, organizations are challenged by traditional processes and static document-driven business architecture models or artifacts. This marks the need for a more adaptive and analytics-enabled approach to business architecture. This article proposes a framework for adaptive business architecture modeling to address this critical concern. This research is conducted in an Australian business architecture organization using the action design research (ADR) method. The applicability of the proposed approach was demonstrated through its use in a health insurance business architecture case study using the Tableau and Jalapeno business architecture modeling platform. The proposed approach seems feasible to process business architecture data for generating essential insights and actions for adaptation.https://csimq-journals.rtu.lv/article/view/4046enterprise architecturebusiness architectureanalyticsdata gap analysisadaptive architecture |
| spellingShingle | Shreya Srinivas Asif Qumer Gill Terry Roach Analytics-Enabled Adaptive Business Architecture Modeling Complex Systems Informatics and Modeling Quarterly enterprise architecture business architecture analytics data gap analysis adaptive architecture |
| title | Analytics-Enabled Adaptive Business Architecture Modeling |
| title_full | Analytics-Enabled Adaptive Business Architecture Modeling |
| title_fullStr | Analytics-Enabled Adaptive Business Architecture Modeling |
| title_full_unstemmed | Analytics-Enabled Adaptive Business Architecture Modeling |
| title_short | Analytics-Enabled Adaptive Business Architecture Modeling |
| title_sort | analytics enabled adaptive business architecture modeling |
| topic | enterprise architecture business architecture analytics data gap analysis adaptive architecture |
| url | https://csimq-journals.rtu.lv/article/view/4046 |
| work_keys_str_mv | AT shreyasrinivas analyticsenabledadaptivebusinessarchitecturemodeling AT asifqumergill analyticsenabledadaptivebusinessarchitecturemodeling AT terryroach analyticsenabledadaptivebusinessarchitecturemodeling |