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Eden, T., Werth, O., Aschenbach, C., Breitner, M. Chances and Challenges of Business Intelligence: Insights from the German Insurance Market. Zeitschrift für die gesamte Versicherungswissenschaft, 112(3), 237-259. https://doi.org/10.3790/zverswiss.2023.1428201
Eden, Theresa; Werth, Oliver; Aschenbach, Claus Marcus and Breitner, Michael H. "Chances and Challenges of Business Intelligence: Insights from the German Insurance Market" Zeitschrift für die gesamte Versicherungswissenschaft 112.3, 2023, 237-259. https://doi.org/10.3790/zverswiss.2023.1428201
Eden, Theresa/Werth, Oliver/Aschenbach, Claus Marcus/Breitner, Michael H. (2023): Chances and Challenges of Business Intelligence: Insights from the German Insurance Market, in: Zeitschrift für die gesamte Versicherungswissenschaft, vol. 112, iss. 3, 237-259, [online] https://doi.org/10.3790/zverswiss.2023.1428201
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Chances and Challenges of Business Intelligence: Insights from the German Insurance Market

Eden, Theresa | Werth, Oliver | Aschenbach, Claus Marcus | Breitner, Michael H.

Zeitschrift für die gesamte Versicherungswissenschaft, Vol. 112 (2023), Iss. 3 : pp. 237–259

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Article Details

Publisher Name
Duncker & Humblot
DOI
https://doi.org/10.3790/zverswiss.2023.1428201
Language
German
Pages
23

Author Details

Theresa Eden (korrespondierende Autorin), Gottfried Wilhelm Leibniz Universität Hannover, Institut für Versicherungsbetriebslehre, Otto-Brenner-Straße 7, D-30159 Hannover, Deutschland

Dr. Oliver Werth, OFFIS e.V. – Institute for Information Technology, https://orcid.org/0000-0002-6767-5905, Escherweg 2, D-26121 Oldenburg, Deutschland

Gottfried Wilhelm Leibniz Universität Hannover, Institut für Versicherungsbetriebslehre, Otto-Brenner-Straße 7, D-30159 Hannover, Deutschland

Prof. Dr. Michael H. Breitner, Gottfried Wilhelm Leibniz Universität Hannover, Institut für Wirtschaftsinformatik, Königsworther Platz 1, D-30167 Hannover, Deutschland

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Abstract

Im Rahmen der digitalen Transformation bieten neue Analyseverfahren und Visualisierungen für Versicherungsunternehmen die Möglichkeit bestehende Geschäftsprozesse zu unterstützen, neue Geschäftsprozesse zu ermöglichen und neue Kunden zu gewinnen. Insbesondere infolge einer schnellen, hochwertigen und intuitiven Datenaufbereitung können erhebliche Wettbewerbsvorteile generiert werden. Business Intelligence (BI) Systeme unterstützen und ermöglichen dabei die Datenverarbeitung und sind in Finanzdienstleistungsunternehmen von besonderem Interesse, da große Datenmengen an Kundeninformationen wertschöpfend genutzt werden können. Mit qualitativen Interviews mit Experten aus der deutschen Versicherungsbranche untersucht dieser Beitrag die aktuellen Einsatzpotentiale von BI in Versicherungsunternehmen sowie die mit der Einführung und Nutzung resultierenden Chancen und Herausforderungen. Die Ergebnisse und Erkenntnisse zeigen, dass der Einsatz von BI als vorteilhaft angesehen wird und die Nutzung in Versicherungsunternehmen deutlich zunehmen wird, da potentielle Einsatzmöglichkeiten derzeit ungenügend ausgeschöpft werden. Unsere Forschung unterstützt auch den Entscheidungsprozess von Praktikern, in welchem Umfang die Implementierung von BI sinnvoll ist.

Table of Contents

Section Title Page Action Price
Theresa Eden et al.: Chances and Challenges of Business Intelligence: Insights from the German Insurance Market 237
Abstract 237
Zusammenfassung 238
1. Introduction 238
2. Business Intelligence in Insurance Companies 239
3. Research Design and Research Methods 241
4. Results 245
4.1 Definition 245
4.2 Chances 245
Reporting System 245
Sales Analysis 246
Market Forecasts 247
Usability 247
4.3 Challenges 248
Data and Privacy 248
IT Landscape and Programming 248
Employee Involvement 249
4.4 Impact on Processes 250
Management Processes 250
Decision-Making Processes 251
5. Discussion and Implications 253
6. Limitations, Future Research Directions and Conclusions 256
References 257

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