Towards a Framework for Enterprise Architecture Analytics

Wißotzki, Matthias; Jugel, Dirk; Möhring, Michael; Sandkuhl, Kurt; Zimmermann, Alfred

doi:10.1109/edocw.2014.47

Cited by 25 publications

(11 citation statements)

References 44 publications

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“…Challenges of Enterprise Architecture Management are identified in [80]. A framework for the support of Enterprise Architecture Management with Advanced Analytics is introduced.…”

Section: Related Workmentioning

confidence: 99%

Benefits of Enterprise Architecture Management – Insights from European Experts

Möhring

Härting

Reichstein

et al. 2015

Lecture Notes in Business Information Processing

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Part 6: Investigating Enterprise ModelsInternational audienceExcellence in IT is a key enabler for the digital transformation of enterprises. To realize the vision of Digital Enterprises it is necessary to cope with changing business requirements and to align business and IT. In order to evaluate the contribution of Enterprise Architecture Management to these goals, our paper explores the impact of various factors to the perceived benefit of EAM in enterprises. Based on literature, we build an empirical research model. It is tested with empirical data of European EAM experts using a structural equation modelling approach. It is shown that changing business requirements, IT Business Alignment, the complexity of Information Technology infrastructure as well as enterprise architecture knowledge of Information Technology employees are crucial impact factors to the perceived benefit of EAM in enterprises

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“…Challenges of Enterprise Architecture Management are identified in [80]. A framework for the support of Enterprise Architecture Management with Advanced Analytics is introduced.…”

Section: Related Workmentioning

confidence: 99%

Benefits of Enterprise Architecture Management – Insights from European Experts

Möhring

Härting

Reichstein

et al. 2015

Lecture Notes in Business Information Processing

Self Cite

View full text Add to dashboard Cite

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“…Organizations can integrate the analytics dimension and the architecture dimensions in several ways. An example of using descriptive business analytics would be to obtain the most relevant data for analysis at the lowest level [43]. Once the most up to date data is obtained, the challenge for architects is to generate visualizations or models based on this data to aid decision making for stakeholders [32].…”

Section: Integrated Analytics-enabled Adaptive Bamentioning

confidence: 99%

Analytics-Enabled Adaptive Business Architecture Modeling

Srinivas

Gill

Roach³

2020

J. Complex Syst. Inform. Model. Q.

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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.

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“…By using EAM and respectively by analyzing it, positive business value and business impacts in terms of costs, scalability, portability and security can be generated [15].…”

Section: Enterprise Architecture Managementmentioning

confidence: 99%

Enterprise Architecture Frameworks as Support for Implementation of Regulations: Approach and Experiences from GDPR

Wichmann

Sandkuhl

Shilov

et al. 2020

J. Complex Syst. Inform. Model. Q.

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Enterprise Architecture (EA) management has been discussed as being supportive for implementation of regulations in enterprises and organizations, but the role of EA frameworks in this context has not been addressed intensely. The EU General Data Protection Regulation (GDPR) is one of the most frequently discussed regulation in industry and research, and expected to cause a shift in viewpoint of enterprises from a technological perspective dominated by information security issues to an organizational perspective governed by GDPR-compliant organizational structures and processes. A well-documented Enterprise Architecture (EA) and a working Enterprise Architecture Management (EAM) are expected to significantly ease the roadmap planning for GDPR implementation. Therefore, this article focuses on the practice of EA use for GDPR implementation. The main contributions of this article are (a) an analysis and comparison of existing architecture frameworks and how they address security-related issues, and (b) a case study from financial industries illustrating the use of EA for implementing GDPR compliance.

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Towards a Framework for Enterprise Architecture Analytics

Cited by 25 publications

References 44 publications

Benefits of Enterprise Architecture Management – Insights from European Experts

Benefits of Enterprise Architecture Management – Insights from European Experts

Analytics-Enabled Adaptive Business Architecture Modeling

Enterprise Architecture Frameworks as Support for Implementation of Regulations: Approach and Experiences from GDPR

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