Skip to main content

Visual Analytics in Enterprise Architecture Management: A Systematic Literature Review

  • Conference paper
  • First Online:
Business Information Systems Workshops (BIS 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 263))

Included in the following conference series:

Abstract

In times of dynamic markets, enterprises have to be agile to be able to quickly react to market influences. Due to the increasing digitization of products, the enterprise IT often is affected when business models change. Enterprise Architecture Management (EAM) targets a holistic view of the enterprise’ IT and their relations to the business. However, Enterprise Architectures (EA) are complex structures consisting of many layers, artifacts and relationships between them. Thus, analyzing EA is a very complex task for stakeholders. Visualizations are common vehicles to support analysis. However, in practice visualization capabilities lack flexibility and interactivity. A solution to improve the support of stakeholders in analyzing EAs might be the application of visual analytics. Starting from a systematic literature review, this article investigates the features of visual analytics relevant for the context of EAM.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    http://dl.acm.org.

  2. 2.

    http://aisel.aisnet.org.

  3. 3.

    http://ieeexplore.ieee.org/Xplore/home.jsp.

  4. 4.

    http://www.sciencedirect.com.

  5. 5.

    http://link.springer.com.

References

  1. Ahlemann, F., Stettiner, E., Messerschmidt, M., Legner, C.: Strategic Enterprise Architecture Management: Challenges, Best Practices, and Future Developments (Management for Professionals). Springer, Heidelberg (2012)

    Book  Google Scholar 

  2. Sandkuhl, K., Stirna, J., Persson, A., Wißotzki, M.: Enterprise Modeling: Tackling Business Challenges with the 4EM Method. Springer, Heidelberg (2014)

    Book  Google Scholar 

  3. Matthes, F., Buckl, S., Leitel, J., Schweda, C.M.: Enterprise architecture management tool survey 2008, München (2008)

    Google Scholar 

  4. Roth, S., Zec, M., Matthes, F.: Enterprise architecture visualization tool survey 2014, München (2014)

    Google Scholar 

  5. Seigerroth, U.: Enterprise modeling and enterprise architecture. Int. J. IT Bus. Alignment Gov. 2, 16–34 (2011)

    Article  Google Scholar 

  6. Jugel, D., Schweda, C.M.: Interactive functions of a cockpit for enterprise architecture planning. In: 2014 IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations, pp. 33–40 (2014)

    Google Scholar 

  7. Christiner, F., Lantow, B., Sandkuhl, K., Wißotzki, M.: Multi-dimensional visualization in enterprise modeling. In: Business Information Systems, Vilnius, pp. 139–152 (2012)

    Google Scholar 

  8. Jugel, D., Kehrer, S., Schweda, C.M., Zimmermann, A.: A decision-making case for collaborative enterprise architecture engineering. In: Lecture Notes in Informatics (LNI) - Informatik 2015, pp. 865–879. Gesellschaft für Informatik (GI) (2015)

    Google Scholar 

  9. Thomas, J.J., Cook, K.A.: Illuminating the path: the research and development agenda for visual analytics (2005)

    Google Scholar 

  10. Keim, D., Andrienko, G., Fekete, J.-D., Görg, C., Kohlhammer, J., Melançon, G.: Visual analytics: definition, process, and challenges. In: Kerren, A., Stasko, John, T., Fekete, J.-D., North, C. (eds.) Information Visualization. LNCS, vol. 4950, pp. 154–175. Springer, Heidelberg (2008). doi:10.1007/978-3-540-70956-5_7

    Chapter  Google Scholar 

  11. Kitchenham, B.: Procedures for performing systematic reviews, Keele, UK (2004)

    Google Scholar 

  12. Heer, J., Shneiderman, B.: Interactive dynamics for visual analysis. Queue 10, 30 (2012)

    Article  Google Scholar 

  13. Jugel, D., Schweda, C.M., Zimmermann, A., Läufer, S.: Tool capability in visual EAM analytics. Complex Syst. Inf. Model. Q. 2, 46–55 (2015). doi:10.7250/csimq.2015-2.04

    Google Scholar 

  14. Fittkau, F., Roth, S., Hasselbring, W.: Explorviz : visual runtime behavior analysis of enterprise application. In: ECIS 2015 Completed Research Papers (2015)

    Google Scholar 

  15. Naranjo, D., Sanchez, M., Villalobos, J.: Visual analysis of enterprise models. In: 2012 IEEE 16th International Enterprise Distributed Object Computing Conference Workshops, pp. 19–28 (2012)

    Google Scholar 

  16. Naranjo, D., Sanchez, M., Villalobos, J.: Towards a unified and modular approach for visual analysis of enterprise models. In: 2014 IEEE 18th International Enterprise Distributed Object Computing Conference Workshops and Demonstrations, pp. 77–86. IEEE (2014)

    Google Scholar 

  17. Naranjo, D., Sánchez, M., Villalobos, J.: PRIMROSe: a graph-based approach for enterprise architecture analysis. In: Cordeiro, J., Hammoudi, S., Maciaszek, L., Camp, O., Filipe, J. (eds.) ICEIS 2014. LNBIP, vol. 227, pp. 434–452. Springer, Heidelberg (2015). doi:10.1007/978-3-319-22348-3_24

    Chapter  Google Scholar 

  18. Roth, S., Hauder, M., Zec, M., Utz, A., Matthes, F.: Empowering business users to analyze enterprise architectures: structural model matching to configure visualizations. In: 2013 17th IEEE International Enterprise Distributed Object Computing Conference Workshops, pp. 352–360. IEEE (2013)

    Google Scholar 

  19. Naseer, A., Laera, L., Matsutsuka, T.: Enterprise BigGraph. In: Proceedings of the Annual Hawaii International Conference on System Sciences, pp. 1005–1014 (2013)

    Google Scholar 

  20. Naranjo, D., Sánchez, M., Villalobos, J.: The devil in the details: fine-grained enterprise model weaving. In: Persson, A., Stirna, J. (eds.) CAiSE 2015. LNBIP, vol. 215, pp. 233–244. Springer, Heidelberg (2015). doi:10.1007/978-3-319-19243-7_23

    Chapter  Google Scholar 

  21. Wißotzki, M., Köpp, C., Stelzer, P.: Rollenkonzepte im enterprise architecture management. In: Zimmermann, A., Rossmann, A. (eds.) Digital Enterprise Computing (DEC 2015). Lecture Notes in Informatics (LNI), vol. P-244, pp. 127–138. Gesellschaft für Informatik, Böblingen (2015)

    Google Scholar 

  22. Williams, B.G., Boland, R.J., Lyytinen, K.: Shaping problems, not decisions: when decision makers leverage visual analytics. In: Twenty-First Americas Conference on Information Systems (AMCIS 2015), pp. 1–15. Association for Information Systems (AIS), Puerto Rico (2015)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Dierk Jugel .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Jugel, D., Sandkuhl, K., Zimmermann, A. (2017). Visual Analytics in Enterprise Architecture Management: A Systematic Literature Review. In: Abramowicz, W., Alt, R., Franczyk, B. (eds) Business Information Systems Workshops. BIS 2016. Lecture Notes in Business Information Processing, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-319-52464-1_10

Download citation

Publish with us

Policies and ethics