Visual Business Analytics: Using the Example of a Call Center

Author:

Nollenburg Pascal-Philipp1,Dill Arthur1

Affiliation:

1. FOM University of Applied Science, Essen, Germany

Abstract

In this article we will examine an approach to the analysis of semi-structured log data using the example of a call center as a subsection of a central corporate service center. In such data all events of a caller passing through the routing are stored. Consequently, it is possible to trace more precisely what the customer experiences during his call. However, this information is only available in semi-structured form. A little-known approach in Anglo-Saxon literature, the Visual Business Analytics (VBA), represents a holistic concept for achieving added value from semi-structured data. In the VBA, data is initially transformed and structured and then prepared for analysis purposes. The goal is to derive recommendations for supporting management decisions in a call center. In the further course, the development of the approaches of information representation is examined first, then the VBA is presented and applied to the log protocols in a call center. Finally, other call center applications of VBA are considered, and an outlook is given on other industries in which the use of VBA offers advantages.

Publisher

Inovatus Usluge d.o.o.

Reference24 articles.

1. Bauer, A. and Günzel, H. (2009), Data-Warehouse-Systeme: Architektur, Entwicklung, Anwendung, dpunkt.verlag, Heidelberg, 2009.

2. Bertin, J. (1983), Semiology of graphics: diagrams, networks, maps, UMI Research Press, 1983.

3. Brown, L., Gans, N., Mandelbaum, A., Sakov, A., Shen, H., Zeltyn, S. and Zhao, L. (2004), Statistical Analysis of a Telephone Call Center: A Queueing-Science Perspective, in Journal of the American statistical association, 100 (2005), Nr. 469, pp. 36-50. CrossRef

4. Bünte, C. (2022), Künstliche Intelligenz – Ein Überblick über die aktuelle und zukünftige Bedeutung von KI in der Wirtschaft und im Gesundheitswesen in Europa, in Pfannstiel, M. A. (eds.) Künstliche Intelligenz im Gesundheitswesen. Springer Gabler, Wiesbaden, 2022, pp. 81-100. CrossRef

5. Commerzbank (2021), Commerzbank beschließt neue Strategie bis 2024, Pressemitteilung, Frankfurt am Main: Group Communications (2021). https://www.commerzbank.de/de/hauptnavigation/presse/pressemitteilungen/archiv1/2021/1__quartal_1/presse_archiv_detail_21_01_93834.html.

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