Mastering data governance has become a critical challenge for insurers in today’s rapidly evolving insurance landscape. Many companies struggle to balance fostering innovation and maintaining regulatory compliance. This blog post will explore the complexities of insurance data governance, highlighting the pitfalls and best practices.
The Data Governance Imperative in Insurance
The importance of data governance in insurance cannot be overstated. A study by Gartner predicts that by 2023, organizations with robust data governance practices will be 80% more likely to succeed in their digital transformation efforts.[1] For insurers, effective data governance is not just about compliance, it’s a cornerstone of digital innovation and competitive advantage.
The Compliance Conundrum: A Cautionary Tale
Let’s consider the case of Anthem Inc., one of the largest health insurers in the United States. In 2020, Anthem agreed to pay $39.5 million to settle a multi-state probe into a 2014 cyber-attack that compromised the personal information of 79 million people.[2] This incident underscores the critical importance of robust data governance practices in protecting sensitive customer information and maintaining regulatory compliance.
Best Practices for Data Governance in Insurance
Drawing lessons from such incidents and industry best practices, here are key data governance strategies that insurers should adopt:
- Establish a Clear Data Governance Framework: Define roles, responsibilities, and processes for data management across the organization. The Data Governance Institute recommends a framework that includes data owners, stewards, and a governance council.[3]
- Implement Strong Data Quality Controls: Ensure that data used for decision-making is accurate, complete, and up to date. A study by Veritas found that 39% of all data in organizations is redundant, obsolete, or trivial (ROT), highlighting the need for regular data audits and cleansing processes.[4]
- Enhance Data Literacy: Invest in training programs to improve data literacy across all levels of the organization. Gartner predicts that by 2023, data literacy will become an explicit and necessary driver of business value.[5]
- Leverage Technology for Compliance: Utilize advanced data governance tools to automate compliance checks, track data lineage, and access controls. The global data governance market is expected to grow from $2.1 billion in 2020 to $5.7 billion by 2025.[6]
- Foster a Culture of Ethical Data Use: Encourage a company-wide mindset prioritizing responsible data practices. A survey by KPMG found that 86% of people feel a growing concern about data privacy, making ethical data use a key factor in maintaining customer trust.[7]
Balancing Act: Innovation vs. Compliance
The challenge for insurers lies not just in implementing these best practices, but also in doing so without stifling innovation. The key is to view data governance not as a roadblock, but as an enabler of responsible innovation.
For instance, a global insurance leader, AXA, has implemented a “data for good” strategy that balances innovation with ethical considerations. This approach has allowed them to develop innovative products like parametric insurance while maintaining robust data governance practices.[8]
The Controversy: Is Over-regulation Hampering Progress?
The industry is debating whether the current regulatory environment is too restrictive. Introducing regulations like GDPR in Europe and CCPA in California has raised concerns about potential impacts on innovation.
However, Gartner predicts that 75% of the world’s population will have its data covered under privacy regulations by 2024, supported by average budgets for privacy compliance exceeding $2.5 million for large organizations.[9] Framing privacy regulations as an opportunity for competitive advantage and market differentiation is more likely to achieve positive business outcomes. This suggests that embracing robust data governance can drive innovation and business success.
Looking Ahead: The Future of Data Governance in Insurance
As we move forward, the importance of data governance in insurance will only grow. The advent of IoT devices, telematics, and AI-driven underwriting will bring new challenges and opportunities. Insurers must stay ahead of the curve by continuously evolving their data governance practices.
One promising trend is the use of privacy-enhancing technologies (PETs). The World Economic Forum predicts that PETs will enable data sharing and analysis while preserving privacy, potentially unlocking $3-5 trillion in economic value by 2025.[10]
Conclusion: Embrace Data Governance as a Competitive Advantage
Mastering data governance in insurance is not just about avoiding fines or maintaining compliance. It’s about creating a foundation for responsible innovation to drive business growth while protecting customer interests.
By learning from cautionary tales like the Anthem breach and implementing robust data governance best practices, insurers can turn data governance from a necessary evil into a true competitive advantage. The future of insurance belongs to those who can navigate the complex interplay of data, innovation, and regulation with skill and foresight.
What are your thoughts on the balance between innovation and compliance in insurance? How is your organization tackling the data governance challenge?
References
[1] Gartner. (2021). “Gartner Top 10 Data and Analytics Trends for 2021.” https://www.gartner.com/smarterwithgartner/gartner-top-10-data-and-analytics-trends-for-2021
[2] Reuters. (2020). “Anthem to pay $39.5 million to settle 2015 cyber attack probe.” https://www.reuters.com/article/business/anthem-to-pay-nearly-40-million-to-settle-data-breach-probe-by-us-states-idUSKBN26L2PT/
[3] The Data Governance Institute. (2021). Data Governance Framework. https://datagovernance.com/the-dgi-data-governance-framework/#:~:text=The%20DGI%20Data%20Governance%20Framework,taking%20action%20on%20enterprise%20data
[4] Veritas. (2019). 2019 Databerg Report. https://www.veritas.com/news-releases/2016-03-15-veritas-global-databerg-report-finds-85-percent-of-stored-data
[5] Gartner. (2019). Gartner Says By 2023, Data Literacy Will Become an Explicit and Necessary Driver of Business Value. https://www.gartner.com/en/newsroom/press-releases/2024-05-13-gartner-says-data-and-analytics-leaders-must-use-collective-intelligence-to-drive-business-value
[6] MarketsandMarkets. (2020). Data Governance Market. https://www.marketsandmarkets.com/Market-Reports/data-governance-market-108243043.html
[7] KPMG. (2020). Corporate Data Responsibility: Bridging the Trust Chasm. https://kpmg.com/us/en/articles/2023/bridging-the-trust-chasm.html
[8] AXA. (2021). AXA’s Data Strategy. https://www-axa-com.cdn.axa-contento-118412.eu/www-axa-com%2F78b2f905-a479-44a4-890d-65bf922a6a6e_axa_corporate_governance_and_compensation_overview_20190325.pdf
[9] Gartner. (2022). Gartner Identifies Top Five Trends in Privacy Through 2024 https://www.gartner.com/en/newsroom/press-releases/2022-05-31-gartner-identifies-top-five-trends-in-privacy-through-2024
[10] World Economic Forum. (2020). The Promise of Platform and Data-ism. https://www3.weforum.org/docs/WEF_The_Promise_of_Platform_Work.pdf
