Abstract
Data-driven architecture is a new paradigm promoted by LeanIX that focuses on making Enterprise Architecture accessible to a wider audience of stakeholders in organizations, to increase data quality and provide transparency when undergoing organizational transformations. This democratization of Enterprise Architecture allows organizations to transform faster and take advantage of trends such as the API Economy, Software-as-a-Service, and Citizen Developers with low-code applications. From this perspective, in this paper, we present the most common challenges that organizations face in their Enterprise Architecture practice due to siloed information and lack of communication between stakeholders. Furthermore, using tools like Excel and PowerPoint to manage the architecture poses challenges due to obsolete data, inability to create meaningful analyses and having multiple sources of truth. In the case of C&A, Helvetia and Marc O’Polo we present how having a modern data-driven Enterprise Architecture has helped these organizations with addressing their challenges and transforming quickly. Finally, we present our ideas on avenues for advancing the field of Enterprise Architecture from a research and practice perspective.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
The LeanIX metamodel contains 11 concepts that are aligned with TOGAF and ArchiMate, and cover Strategy and Transformation, Business Architecture, Application Architecture, Technology Architecture: https://docs-eam.leanix.net/docs/meta-model.
- 2.
This is example data and not data from C&A.
- 3.
This is example data and not data from Helvetia.
- 4.
This is example data and not data from Marc O’Polo.
References
Hohpe, G.: The Software Architect Elevator: Redefining the Architect's Role in the Digital Enterprise. O'Reilly Media, Inc. (2020)
LeanIX report on From Technical Debt to Sustainability: Enterprise Architects on IT Priorities for 2022, https://www.leanix.net/en/download/enterprise-architects-on-it-priorities-2022, last accessed on 2023/03/27
LeanIX website, C&A customer story, https://www.leanix.net/en/customers/success-stories/c-and-a, last accessed on 2023/03/27
LeanIX report on The Role of Enterprise Architects in M&A, https://www.leanix.net/en/download/the-role-of-enterprise-architects-in-mergers-acquisitions, last accessed on 2023/03/27
LeanIX website, Helvetia customer story, https://www.leanix.net/en/customers/success-stories/helvetia, last accessed on 2023/03/27
LeanIX report on SAP S/4HANA Survey 2022, https://www.leanix.net/en/download/sap-s4-hana-report-2022, last accessed on 2023/03/27
LeanIX, website, Marc O’Polo customer story, https://www.leanix.net/en/customers/success-stories/marc-o-polo, last accessed on 2023/03/27
Capgemeni report on Sustainable IT: https://www.capgemini.com/wp-content/uploads/2021/05/Sustainable-IT_Report.pdf
Sundberg, N., Barnekow, H.: Sustainable IT Playbook for Technology Leaders: Design and implement sustainable IT practices and unlock sustainable business opportunities. Packt Publishing Ltd. (2022)
Aldea, A., Hacks, S.: Analyzing Enterprise Architecture Models by Means of the Meta Attack Language. In: Advanced Information Systems Engineering: 34th International Conference, CAiSE 2022, Proceedings, pp. 423–439. Springer International Publishing, Leuven, Belgium, June 6–10, 2022
OpenAI GPT-4 website, https://openai.com/product/gpt-4, last accessed on 2023/03/27
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Aldea, A. (2023). Current Challenges and Opportunities in Enterprise Architecture: Insights from 950 + LeanIX Customers. In: Griffo, C., Guerreiro, S., Iacob, M.E. (eds) Advances in Enterprise Engineering XVI. EEWC 2022. Lecture Notes in Business Information Processing, vol 473. Springer, Cham. https://doi.org/10.1007/978-3-031-34175-5_2
Download citation
DOI: https://doi.org/10.1007/978-3-031-34175-5_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-34174-8
Online ISBN: 978-3-031-34175-5
eBook Packages: Computer ScienceComputer Science (R0)