Achieving Data Integrity: A Guide for Insurers

Technology-driven insights and capabilities depend on trusted data

Data integrity powers insurance innovation

Technology offers insurance carriers new opportunities to innovate. Process automation streamlines claims processing. More accurate risk assessment improves underwriting, sharpens pricing, and reveals new opportunities. Personalization drives customer satisfaction and enhances omnichannel marketing performance. AI and machine learning spot fraud. Analytics reveal new business insights.

Central to realizing value from all these advances is data integrity.

To make the most of technology for innovation, insurers need trusted data that is accurate, consistent, and contextual. What can you do to ensure your data will support the innovation needed to compete in the digital age? So you can disrupt rather than be disrupted?

Continuously improving the integrity of data is a journey. The destination is a better understanding of your business and, ultimately, better service for your customers. The first step can be any unique and specific business initiative that depends on data, such as:

• Digitizing processes across your business
• Advancing modernization initiatives
• Increasing data literacy for more precise business outcomes
• Streamlining underwriting for efficiency
• Identifying opportunities and targeting sales and marketing efforts

Whether you are looking to connect and leverage data in legacy systems, improve visibility and consistency between core business applications, reduce risk, or find new opportunities, you need data you can trust. You need data accuracy, consistency, and context to fuel your business initiatives. In this eBook, we will explore some of the key capabilities that will help you begin your data integrity journey.

[sc name=”callout-purple” ]61%
of insurance business executives state that they do not entirely trust the data they receive.
– Capgemini Research, 2022

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