Overstock.com Achieves Data Science at Scale with Databricks’ Unified Analytics Platform
December 18 2017 - 9:00AM
Databricks, provider of the leading Unified Analytics
Platform and founded by the team who created Apache Spark™,
today announced that Overstock.com (NASDAQ:OSTK) has chosen
Databricks’ Unified Analytics Platform to enable an enhanced
customized shopping experience that drives conversions and customer
lifetime value. Databricks provides a serverless cloud
infrastructure that enables Overstock.com’s data science team to
more efficiently build, train and deploy machine learning models.
Leveraging Databricks has improved Overstock.com’s data science
velocity by 5 times resulting in an improved customer experience.
Overstock.com is the premier online destination for furniture
and home décor, using technology to help savvy shoppers find the
best prices on top styles to create their dream homes. The retailer
has millions of products for sale onsite resulting in billions of
visits and pageviews in Overstock.com’s historic web logs. However,
only a small percentage of these visits and pageviews were
converting to purchases. Overstock.com needed to be able to quickly
build and iterate user scoring models based on interactions with
its website. Sifting through the massive amounts of sparse data to
construct customized features proved to be an enormous
computational challenge. Overstock also needed to constantly
optimize the customer click-through rate to keep up with the
changing market conditions throughout the year.
“We want all the data, all the time, and all in near real time
in order to make smart business decisions. Instead of focusing on
our critical data problems and models, our data scientists found
themselves dealing with the complexities of managing
infrastructure,” said Chris Robison, Head of Marketing Data Science
at Overstock.com. “It was our goal to provide our data scientists
with the most innovative tools that allow them to be effective at
what they do best - solve data problems. With Databricks, our new
cloud stack is like getting a seat in first class. It’s just the
way flying (or data science-ing) should be.”
Overstock.com’s data science team saw the biggest benefits with
heightened collaboration capabilities and more efficient model
training — improving data science productivity and time-to-market.
With Databricks, data scientists at Overstock.com can build,
validate and deploy machine learning models into production in fast
iterations while leveraging a variety of libraries and toolkits in
addition to native Spark. Overstock.com has decreased the cost of
moving models to production by nearly 50 percent and data
scientists can stand up new models 5 times faster than previously
required.
Read more about the customer use case in Overstock.com’s blog
post here.
About Overstock.comOverstock.com, Inc. Common
Shares (NASDAQ:OSTK) / Series A Preferred (Medici Ventures’ tZERO
platform: OSTKP) / Series B Preferred (OTCQX:OSTBP) is an online
retailer based in Salt Lake City, Utah that sells a broad range of
products at low prices, including furniture, décor, rugs, bedding,
and home improvement. In addition to home goods, Overstock.com
offers a variety of products including jewelry, electronics,
apparel, and more, as well as a marketplace providing customers
access to hundreds of thousands of products from third-party
sellers. Additional stores include Pet Adoptions and Worldstock.com
dedicated to selling artisan-crafted products from around the
world. Forbes ranked Overstock in its list of the Top 100 Most
Trustworthy Companies in 2014. Overstock regularly posts
information about the company and other related matters under
Investor Relations on its website,
http://www.overstock.com.
About DatabricksDatabricks’ mission is to
accelerate innovation for its customers by unifying Data Science,
Engineering and Business. Founded by the team who created Apache
Spark™, Databricks provides a Unified Analytics Platform for data
science teams to collaborate with data engineering and lines of
business to build data products. Users achieve faster time-to-value
with Databricks by creating analytic workflows that go from ETL and
interactive exploration to production. The company also makes it
easier for its users to focus on their data by providing a fully
managed, scalable, and secure cloud infrastructure that reduces
operational complexity and total cost of ownership. Databricks,
venture-backed by Andreessen Horowitz, NEA and Battery Ventures,
among others, has a global customer base that includes Viacom,
Shell and HP. For more information, visit www.databricks.com.
© Databricks 2017. All rights reserved. Apache, Apache Spark and
Spark are trademarks of the Apache Software Foundation.
Media Contact:Kristalle CooksP: 650-346-7810E:
kristalle.cooks@databricks.com
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