AtScale > Case Studies > Delivering Insurance Policies Online Using Real-Time Data Insights

Delivering Insurance Policies Online Using Real-Time Data Insights

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Company Size
1,000+
Region
  • America
Country
  • United States
Product
  • Snowflake
  • AtScale
  • Tableau
  • Excel
Tech Stack
  • Python
  • MySQL
Implementation Scale
  • Enterprise-wide Deployment
Impact Metrics
  • Customer Satisfaction
  • Digital Expertise
  • Productivity Improvements
Technology Category
  • Analytics & Modeling - Big Data Analytics
  • Analytics & Modeling - Machine Learning
  • Infrastructure as a Service (IaaS) - Cloud Computing
Applicable Functions
  • Business Operation
  • Sales & Marketing
Use Cases
  • Machine Translation
Services
  • Cloud Planning, Design & Implementation Services
  • Data Science Services
About The Customer
EverQuote is one of the largest online marketplaces for insurance. The company empowers customers to better protect their most important assets, such as their family, property, or future. Through the use of data and technology, EverQuote aims to be a trusted source for simple, affordable, and personalized insurance policies. The company was a spinoff from Cogo Labs, a technology-driven venture accelerator, and had a data architecture consisting of a MySQL cluster, Python services, a direct connection to Excel, and a custom OLAP interface.
The Challenge
EverQuote, a large online marketplace for insurance, was facing challenges with its in-house custom OLAP solution. The system, which was over ten years old, had several bottlenecks that prevented many use cases and suffered from poor query performance. As the company grew, it also found it difficult to scale self-service analytics to non-technical employees. The company needed a modern data architecture that could democratize data analytics for all.
The Solution
EverQuote decided to shift from its in-house OLAP solution to Snowflake’s cloud data platform using AtScale. With AtScale’s Semantic Layer, EverQuote was able to transition its analytics workloads to Snowflake without impacting the existing business user experience. The semantic layer now enables the business team to access data stored on Snowflake within Tableau, Excel, and many other business analytics and visualization tools. Through AtScale’s semantic modeling capabilities, EverQuote is able to flexibly add new metrics and data definitions that provide consistency across consumption tools. Data virtualization also makes it easier to onboard new data quickly so that it can be queried from BI tools almost immediately.
Operational Impact
  • EverQuote has been able to dramatically reduce the time-to-insight for business users.
  • The company has been able to more easily leverage its data for machine learning use cases.
  • Data teams can now use Jupyter and other Python-based approaches to generate data science insights against Snowflake data.
  • This has broken down the traditional silo between business intelligence and data science teams so that both teams can produce better insights for the organization.
  • EverQuote has shifted its culture to embrace data as a strategic asset.

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