Embracing Digital Transformation: Enhancing Insurance Companies' Strategies for a Dynamic Economy
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Keywords

Digital transformation, insurance companies, insurtech, big data, analytics, customer experience, cybersecurity, agile business models, value-added services, robotic process automation.

How to Cite

Embracing Digital Transformation: Enhancing Insurance Companies’ Strategies for a Dynamic Economy. (2023). Journal of Universal Science Research, 1(8), 29-35. https://universalpublishings.com/index.php/jusr/article/view/1672

Abstract

This article explores the challenges and opportunities insurance companies face in the digital transformation era and provides insights into improving their strategies to remain competitive and relevant.

It emphasizes the importance of embracing insurtech innovations, leveraging big data and analytics, enhancing customer experience, and strengthening cybersecurity to thrive in the digital economy.

The article discusses the benefits of adopting agile business models, offering value-added services, and implementing robotic process automation to optimize operations and drive innovation in the insurance industry.

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References

Smith, J., & Johnson, A. (2022). Digital Transformation in the Insurance Industry: Opportunities and Challenges. Journal of Insurance Studies, 35(2), 78-93.

Deloitte. (2021). Insurtech Outlook: Leveraging Innovation for Growth. Retrieved from https://www2.deloitte.com/us/en/insights/industry/financial-services/us-insurtech-outlook.html

McKinsey & Company. (2021). Big Data, Analytics, and the Future of Insurance: The Rise of Insurtech. Retrieved from https://www.mckinsey.com/industries/financial-services/our-insights/big-data-analytics-and-the-future-of-insurance

Cybersecurity Almanac. (2021). Cybercrime Statistics and Trends. Retrieved from https://www.cybersecurity-almanac.com/cybercrime-statistics-trends/

Joraev Ashurali. (2023). PROBLEMS OF IMPROVING THE SCIENTIFIC-METHODICAL BASIS OF INCREASING THE EFFICIENCY OF INDUSTRIAL ENTERPRISES. JOURNAL OF UNIVERSAL SCIENCE RESEARCH, 1(8), 21–28. https://doi.org/10.5281/zenodo.8215953

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This work is licensed under a Creative Commons Attribution 4.0 International License.