Turning data into action : Allianz’s AI advantage

The CDOs play a pivotal role in aligning data strategies with business objectives, fostering a data-driven culture and ensuring compliance with governance frameworks. Their impact has been transformative, making high-quality data more accessible across Allianz’s OEs. By enhancing data management practices, CDOs have accelerated the implementation of AI use cases, improved the accuracy of insights, and strengthened the foundation for AI-driven decision-making.

To ensure data initiatives are linked directly to measurable outcomes, Allianz has introduced the ‘Data Value’ metric, which quantifies the financial impact of data projects. This enables the company to prioritize high-return initiatives. In 2024, 39 Allianz entities participated in the assessment, which revealed that almost every third  of AI and data asset within the insurer is directly linked to quantifiable dollar values.

Continuous improvement is a cornerstone of Allianz’s Data & AI strategy, driven by two key assessments: Data Maturity and Data Fitness. The Data Maturity Assessment evaluates OEs across 16 dimensions, focusing on data consumption, production and culture, with high performers like Allianz Brazil and Allianz German Life setting benchmarks. Conducted annually, the Data Fitness Assessment examines data accessibility and quality for major global use cases.

Such advanced data initiatives are significantly improving the insights derived from vast datasets. One notable example comes from Allianz RE, which maintains a database containing over 125 million data points related to catastrophes. In November 2024, this data enabled Allianz to issue an early warning to customers in Valencia, Andalusia and surrounding regions, alerting them to a high likelihood of severe weather. The warning was sent  hours before massive flooding occurred, demonstrating the value of data-driven risk prediction in enhancing preparedness and resilience.

To support its data-driven ambitions, Allianz has also developed three initiatives designed to ensure consistency, transparency and usability of data across the organization. The Global Business Glossary defines all globally relevant core data, including harmonized terms, concepts and associated business owners. This provides a standardized foundation for data usage across diverse use cases.

The Global Data Model maps the relationships between business terms and data attributes, ensuring alignment and coherence throughout the data ecosystem. Complementing these is the Data Catalogue, which identifies data sources, tables and columns while tracing the data flow from source to target, including all transformation steps.

Ensuring clarity around data provenance, ownership and applicable policies is essential for effective data management. Beyond the data itself, metadata plays a crucial role in providing context, tracing the data’s lineage, and defining attributes.

Such data reliability enhances accuracy and consistency, while lineage helps organizations meet privacy regulations and maintain accountability. Understanding a dataset’s origin also provides critical context, enabling correct interpretation and integration across systems. For AI and analytics, trusted data sources are essential to producing accurate insights and foster confidence in outcomes.

Central to Allianz's Data & AI strategy is the Allianz Data Platform (ADP), which enables data from various sources to be integrated. ADP allows data to be integrated from various sources while maintaining high standards of governance. It enables employees across the organization to discover and use data seamlessly, fostering faster decision-making and innovation. One of the AI initiatives that uses ADP is the  Underwriter Guidance Tool BRIAN.

Allianz is working towards a system where data is even more accessible and intuitive to use. The goal is to make data accessibility a reality – where employees can simply ask for the data they need and immediately gain access to high-quality, well-contextualized information while respecting confidentiality and privacy requirements. This would enhance efficiency and unlock new opportunities for collaboration and insights across the company’s global business.

Discussions of data access and sharing can raise concerns about how private data is stored and used. Allianz is dedicated to the responsible use of AI, prioritizing trust and customer security. The company has established principles for ethical AI usage, focusing on transparency, privacy and human oversight. Allianz aligns with regulatory frameworks such as the EU AI Act, further reinforcing its commitment to ethical AI implementation by joining initiatives like the AI Pact.

Robust frameworks are in place to ensure data is managed responsibly, from strict data privacy rules to secure technical systems that prevent breaches. However, the most common vulnerabilities come from human error, so Allianz prioritizes regular training to address social engineering risks. Every employee undergoes annual training to stay vigilant against potential threats.

The focus extends beyond technical safeguards to foster a culture of responsibility. It’s not just about protecting the data itself but ensuring that employees understand their role in maintaining its integrity and security.  

The insurance industry has come a long way since Halley’s life tables. Allianz’s commitment to data governance, innovation and measurable impact positions it at the forefront of the industry, ensuring it continues to deliver reliable, competitive solutions in an increasingly complex world.