Business-Driven Insurance IT Transformation: Comparative Insights from Guidewire Deployments
Keywords:
transformations, findings, sponsorshipAbstract
This study examines how leading insurers achieve business-driven IT transformation through Guidewire core system deployments. Synthesizing case data from global Guidewire implementations across various lines, the research identifies key success factors and pitfalls that shape outcomes. Using a comparative case-study approach, performance metrics are analysed before and after Guidewire adoption, with contrast outcomes in different regions and deployment models. Results indicate that when business and IT strategies are closely aligned, Guidewire projects deliver significant improvements (e.g. 30–50% faster claims processing, accelerated product launches, and higher customer satisfaction). For example, one North American auto insurer consolidated legacy systems and cut claim cycle time by ~30% (ROI in two years). By contrast, projects with weak business sponsorship saw cost overruns or under-adoption. It is observed that cloud-based implementations often yield faster time-to-value and agility, though not without challenges (data migration, change management). These findings underscore that strategic planning, stakeholder engagement, and agile governance are critical for realizing business benefits. Ultimately comparative lessons from global Guidewire use can guide insurers in structuring successful, business-driven transformations.Downloads
References
David-West, O., Iheanachor, N., & Kelikume, I. (2018). A resource-based view of digital financial services (DFS): An exploratory study of Nigerian providers. Journal of Business Research, 88, 513-526. https://doi.org/10.1016/j.jbusres.2018.01.034
Eckert, C., & Osterrieder, K. (2020). How digitalization affects insurance companies: Overview and use cases of digital technologies. Zeitschrift für die gesamte Versicherungswissenschaft, 109(5), 333-360. https://doi.org/10.1007/s12297-020-00475-9
Eckert, C., Eckert, J., & Zitzmann, A. (2021). The status quo of digital transformation in insurance sales: An empirical analysis of the German insurance industry. Zeitschrift für die gesamte Versicherungswissenschaft, 110(2-3), 133–155. https://doi.org/10.1007/s12297-021-00507-y
Elgargouh, Y., Chbihi Louhdi, M. R., Zemmouri, E. M., & Behja, H. (2024). Knowledge management for improved digital transformation in insurance companies: Systematic review and perspectives. Informatics, 11(3), Article 60. https://doi.org/10.3390/informatics11030060
Eling, M., Nuessle, D., & Staubli, J. (2022). The impact of artificial intelligence along the insurance value chain and on the insurability of risks. The Geneva Papers on Risk and Insurance - Issues and Practice, 47(2), 205-241. https://doi.org/10.1057/s41288-020-00201-7
Hu, Y., Che, D., Wu, F., & Chang, X. (2023). Corporate maturity mismatch and enterprise digital transformation: Evidence from China. Finance Research Letters, 53, Article 103677. https://doi.org/10.1016/j.frl.2023.103677
Iheanachor, N., & Umukoro, I. (2022). Partnerships in digital financial services: An exploratory study of providers in an emerging market. Journal of Business Research, 152, 425-435. https://doi.org/10.1016/j.jbusres.2022.08.010
Krefting, J., Sen, P., David-Rus, D., Güldener, U., Hawe, J. S., Cassese, S., & Xhepa, E. (2023). Use of big data from health insurance for assessment of cardiovascular outcomes: A structured review. Frontiers in Artificial Intelligence, 6, Article 1155404. https://doi.org/10.3389/frai.2023.1155404
Lee, C.-C., Lou, R., & Wang, F. (2023). Digital financial inclusion and poverty alleviation: Evidence from the sustainable development of China. Economic Analysis and Policy, 77, 418-434. https://doi.org/10.1016/j.eap.2022.12.004
Liu, G., & Wang, S. (2023). Digital transformation and trade credit provision: Evidence from China. Research in International Business and Finance, 64, Article 101805. https://doi.org/10.1016/j.ribaf.2022.101805
Liu, M., Yang, H., & Zheng, S. (2024). Index construction and application of digital transformation in the insurance industry: Evidence from China. PLOS One, 19(1), Article e0296893. https://doi.org/10.1371/journal.pone.0296893
Merello, P., Barberá, A., & De la Poza, E. (2022). Is the sustainability profile of FinTech companies a key driver of their value? Technological Forecasting and Social Change, 174, Article 121290. https://doi.org/10.1016/j.techfore.2021.121290
Trinh, G., Nguyen, N., & Singh, S. (2024). Redefining insurance through technology: Achievements and future challenges in the insurtech era. Research in International Business and Finance, 70, Article 102316. https://doi.org/10.1016/j.ribaf.2024.102316
Van Veldhoven, Z., Alaswad, A., Barrett, S., Robinson, M. R., & Vanthienen, J. (2021). Digital transformation in the property and casualty insurance industry. International Journal of Trade, Economics and Finance, 12(5), 138-143. https://doi.org/10.18178/ijtef.2021.12.5.708
Xu, X. (2017). Blockchain and insurance innovation: Mechanisms, prospects and challenges. Insurance Studies, 5, 43-52. https://doi.org/10.13497/j.cnki.is.2017.05.004
Zarifis, A., Holland, C. P., & Milne, A. (2019). Evaluating the impact of AI on insurance: The four emerging AI- and data-driven business models. Emerald Open Research, 1, Article 15. https://doi.org/10.35241/emeraldopenres.13549.1
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