This major insurance company, with more than $90 billion in annual premiums, has numerous use cases for fast, reliable data processing and analytics, including:
The company's patchwork of legacy data warehouses were too slow, inflexible, unreliable, expensive to support these use cases, slowing the pace of business and limiting the amount of accessible data:
After extensive testing and evaluation, the company selected Yellowbrick over Greenplum and others for its data warehouse transformation project -- with queries running 400X faster on Yellowbrick. During testing, Yellowbrick proved out its ability to help process and analyze billions of rows of data (including numerous complex table associations), providing price/performance at scale, data consistency, and 24/7 availability.
Today, the company is using Yellowbrick to bring instant insights to asset management, annuity insurance underwriting, life insurance marketing campaigns, and HR (for 2 million employees).