Industry Solutions:

Yellowbrick for Insurance Companies

Yellowbrick Data Warehouse gives insurers a sharpened competitive edge by reducing risk, improving compliance, and increasing efficiency

Customer Story:

Top 3 Global Insurance Company

One of the biggest insurance companies in the world selected Yellowbrick over Greenplum and others to help it hit IFRS 17 compliance targets, enabling complex and high-performance analytics on billions of rows of data, full data consistency, and 24/7 availability.

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Top 3 Global Insurance Company logo
Comprehensive Policy Analysis from Days to Hours

A full-cost analysis of all policies across multiple lines of business that took 2 days now takes less than 2 hours with Yellowbrick.

More Accurate Underwriting Across Multiple Months

Insurance underwriting analysis is now more accurate for hundreds of concurrent users because much more historical data can be processed than previously.

Compliance Goals Hit Ahead of Schedule

The company will be the first insurer in its country running IFRS 17-compliant systems.

In Insurance, Choosing the Wrong Data Warehouse Platform is a Big Risk

Consider a few of the most critical types of analysis insurance companies need to run: Exposure. Risk/loss. Modeled losses. Portfolio rollups. EP curves. Policy limit aggregation. These companies need be able to do these analyses and others quickly and accurately, using detailed data that covers long time periods. Doing so enables revenue growth, improved efficiency, easier compliance, and more-competitive offerings. But even after investing considerable resources and time in data warehouse systems (and possibly Apache Hadoop as well), many insurance companies find themselves behind where they want to be, and they risk falling farther behind.

The Yellowbrick Data Warehouse is ideal for addressing the data analysis complexities and speed the insurance industry requires. It allows organizations to build a real-time, standards-based analytics platform that leverages existing tools, models, and investments in the cloud or on-premises, while providing breakthrough price/performance and flexibility far beyond what legacy platforms like IBM Netezza and Teradata, or cloud-only options like Snowflake, can provide. The result? Workloads that complete sub-seconds instead of minutes, and that includes years of historical data instead of just months. That's a huge business advantage.

On Demand Webinars

Data Warehouse Modernization Exec Brief

In this unique event, data analytics leaders discuss how a modern and fast analytics platform that can be deployed anywhere - in data centers, in public clouds, and eventually at the edge--can give insurance companies a sharpened competitive edge.

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Data Warehouse Modernization Exec Brief

Watch the session to learn about a data warehouse that addresses the complexities and speed the insurance industry requires. You’ll discover how to build a real-time, standards-based analytics platform that leverages existing tools, models, and investments in both public and private clouds.

Watch the Webinar

Additional Resources

Featured eBook:
Yellowbrick for Insurance

100X Data Analytics Performance for Faster, Richer Results from Financial Data

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Solution Brief:
Modern analytics for the insurance industry

100X performance on real-time and at-rest data for thousands of users, at a fraction of the cost of alternatives.

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Real-time data analytics for the insurance industry

Learn how to save millions by removing risk, building complete customer views, and slashing underwriting time.

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Achieving True Customer 360 in Insurance

Achieving a “360-degree view” of the customer journey is important to remain competitive.

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Data Sheet:
Product Overview Yellowbrick for Insurance Analytics

Learn why Yellowbrick is best choice for data warehouse modernization, BI acceleration, or data lake augmentation projects in insurance companies.

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Industry Whitepaper:
Insurance customer 360° on a distributed cloud architecture

Read about four use cases of insurance customer 360 analytics and how insights can be applied to deliver a better customer experience and drive targeted activities to optimize profits.

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