Navigating Data Ownership in Insurance Technology Deals

In an era where technology drives significant innovation in the insurance sector, understanding the nuances of data ownership has emerged as a critical concern for insurers. While the focus has often been on the speed, functionality, and implementation of new technologies, there’s an underlying question that many companies overlook: what happens to the data once the technology is integrated? As insurers adopt third-party platforms for underwriting, claims processing, and risk management, they may inadvertently find themselves trapped in agreements that severely limit their control over valuable data assets.

The implications of this oversight can be far-reaching, particularly as the use of artificial intelligence (AI) and external data sources becomes more prevalent. A growing number of insurance executives are beginning to recognize that the data generated and utilized during their operations can be as valuable as the technology itself. The National Association of Insurance Commissioners (NAIC) is actively addressing this issue by forming a working group focused on third-party data and models, which aims to create a robust framework for evaluating the role of AI and data ownership in the insurance landscape.

Understanding the Risks of Data Portability

At the heart of the data ownership dilemma is the concept of data portability—the ability to transfer data from one system to another without losing access or control. For insurers, this translates to understanding what data they truly own after entering into agreements with technology vendors. Rob Galbraith, CEO of Forestview Insights, highlights a practical example from his experience at a previous insurance carrier, where a team was tasked with evaluating aerial imagery providers for property assessments. The key question was whether the images obtained would remain the insurer's property, particularly if they needed to switch vendors in the future.

As insurers adopt subscription-based platforms, the risk of losing access to accumulated data grows. For instance, if a carrier relies on a vendor for aerial imagery of properties, the insurer must clarify whether they own the images, how they can use them, and what happens when the relationship ends. The loss of these data assets can hinder decision-making processes related to underwriting, claims management, and regulatory compliance.

The Value of Historical Data

Data in the insurance industry is not static; it gains value over time. For example, a single aerial image might assist in a point-in-time underwriting decision, but a series of images could reveal trends such as property deterioration or changes in land use. This historical data can be crucial for managing catastrophe exposure and for discussions with reinsurers or regulators. Insurers that do not clearly define their rights to this data may find themselves at a significant disadvantage.

The Legal Landscape of Data Ownership

As the insurance industry evolves, so too does the legal framework surrounding data ownership. Insurers are increasingly incorporating AI-specific provisions into their contracts, addressing critical areas such as ownership rights, data inputs, governance, and performance metrics. These legal considerations are paramount when evaluating technology vendors, as the contractual stipulations can dictate the future usability of data.

For instance, if an insurer enters into a contract with a technology provider that does not allow for data exportation or limits access to historical data upon termination, the carrier risks losing years of valuable insights. This is particularly troubling in a regulated industry like insurance, where carriers remain accountable for the data used in pricing and underwriting decisions. If an insurer is unable to validate the quality of the data or the processes used to obtain it, they may be exposed to regulatory scrutiny and potential financial liabilities.

Evaluating Contractual Agreements

Insurance executives must approach technology vendor agreements with a keen understanding of data ownership implications. Key questions to consider include:

• What data is being purchased versus what is only licensed?
• What outputs does the carrier own?
• What happens to the data at the end of the contract?
• Can historical archives be exported in usable formats?
• How can the carrier's operational data train systems used elsewhere?

By addressing these questions upfront, insurers can better safeguard their data assets and ensure they are not left vulnerable in the event of a vendor transition.

Transforming Technology Strategy

Understanding the nuances of data ownership is not merely an operational concern; it should be a strategic priority for insurance companies. As insurers continue to embrace technology, they must recognize that their data is an integral part of their transformation journey. This doesn’t mean shunning subscription-based technologies altogether, but rather integrating data rights into the broader architecture of their operational strategies.

Insurers should view data ownership as part of a comprehensive approach that includes workflow design, cybersecurity measures, and regulatory governance. As the value of data compounds over time, losing access to it can be as damaging as losing the technology that generated it. In this light, data ownership should not be an afterthought buried in procurement processes, but a fundamental aspect of the business case presented to stakeholders.

Long-Term Benefits of Data Ownership

Companies that prioritize data ownership will find themselves better positioned to adapt to changing market conditions and regulatory environments. By maintaining control over their data, insurers can switch vendors without losing critical insights, support informed decision-making, and foster continuous learning from their own historical records. This proactive approach can lead to enhanced operational efficiency and a stronger competitive edge in a rapidly evolving industry.

Key Takeaways

• Data Ownership is Crucial: Insurers must understand what data they own and how it can be used post-contract.
• Evaluate Contracts Carefully: Incorporate AI-specific provisions to protect data rights and clarify ownership.
• Data is a Growing Asset: Historical data compounds in value and is essential for effective decision-making.
• Strategic Integration: Data ownership should be part of the overall technology strategy, not an afterthought.
• Proactive Approach: Insurers that prioritize data ownership will be better positioned for future challenges.

Frequently Asked Questions

What is data portability in insurance technology?

Data portability refers to the ability of insurers to transfer and retain control over their data when shifting between technology vendors. It is crucial for maintaining access to valuable historical and operational data, which can inform underwriting, claims processing, and regulatory compliance.

Why is data ownership important for insurers?

Data ownership is vital because it determines the insurer's ability to utilize and protect their data assets over time. Insurers that do not clarify ownership rights in contracts may face challenges in transitioning between vendors, potentially losing valuable insights and historical records that are essential for informed decision-making.

How can insurers safeguard their data assets?

Insurers can safeguard their data by carefully evaluating technology vendor agreements, incorporating AI-specific provisions, and ensuring they understand which data is purchased versus licensed. By proactively addressing these issues, insurers can better protect their data assets and enhance their operational capabilities.

What role does regulation play in data ownership?

Regulations in the insurance industry require carriers to maintain accountability for the quality and validity of the data used in their operations. Insurers must ensure that they can explain, export, and audit their data sources to mitigate risks associated with regulatory scrutiny and potential liabilities.