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

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	Delivering Insurance Policies Online Using Real-Time Data Insights AtScale

Delivering Insurance Policies Online Using Real-Time Data Insights

AtScale

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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.

About 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.

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.

Impact #1	EverQuote has been able to dramatically reduce the time-to-insight for business users.
Impact #2	The company has been able to more easily leverage its data for machine learning use cases.
Impact #3	Data teams can now use Jupyter and other Python-based approaches to generate data science insights against Snowflake data.

Impact #1

EverQuote has been able to dramatically reduce the time-to-insight for business users.

Impact #2

The company has been able to more easily leverage its data for machine learning use cases.

Impact #3

Data teams can now use Jupyter and other Python-based approaches to generate data science insights against Snowflake data.

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Overview

Delivering Insurance Policies Online Using Real-Time Data Insights

Operational Impact