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Quantivo's Cloud-Optimized Analytics Solution Selected by ASOS to Drive More Value From Data

Top Global Fashion and Beauty Retailer Selects Quantivo's Cloud-Optimized Behavioral Analytics Platform to Explore Their Big Data (May 15, 2012)

EMERYVILLE, CA -- (Marketwire) -- 05/15/12 -- Quantivo, the industry's first provider of cloud-optimized analytics, announced today that ASOS, one of the world's top online fashion and beauty retailers, has selected Quantivo's behavioral-analytics technology to analyze data from online-shopping to discover patterns that will support continuous improvements for their customers.

Offering over 50,000 branded and own-label products, ASOS uses a combination of analytics systems to collect and analyze data from multiple web properties and channels; but they were often forced to choose between speed and detail when it came to querying this data. Many other analytics tools require massive upfront customization and investment, but company officials noted that the ease of onboarding data, depth of detail-level data analysis and drag-and-drop interface led to the selection of Quantivo for advanced web analytics and behavioral analysis.

"At ASOS the customer experience is central to everything we do. Understanding how customers engage with our websites -- a crucial part of the overall customer journey -- is key to improving that experience," said David Williams, head of customer intelligence, Ltd. "To this end we were looking for a tool that would complement our existing web analytics solutions but move our analysis capability up a notch from aggregate to visitor-level and sub-visit-level data. At the same time, we wanted a tool that was fully managed, easy to onboard and had the horsepower to deliver answers to complex queries over very large datasets in minutes or seconds. Quantivo met every one of those requirements."

Since Quantivo's platform is incredibly fast to deploy and users can be trained to use the interface within a few hours, ASOS's team was able to deploy and begin to explore their data almost immediately.

"We're delighted to be working with a leader such as ASOS, which attracts 18.5 million unique visitors per month and has customers in 191 countries," said Marty Shepard, vice president of sales and marketing, Quantivo. "ASOS is ahead of the curve in using data to deliver a superior customer experience. Quantivo was able to demonstrate how our cloud-optimized solution will enhance their data-driven analytical efforts by reducing the complexity of deployment, providing access to complex, detailed data, and delivering analytical results quickly. We look forward to a long and productive association with ASOS."

About Quantivo
Quantivo delivers the industry's first cloud-optimized analytic experience that is frictionless, fast and flexible. Unlike traditional solutions, Quantivo empowers business users and analysts to quickly load, assess, integrate and analyze large data sets from disparate sources -- within hours, not weeks. This is possible only because of Quantivo's proven proprietary pattern-store technology, advanced query engine, and elastic cloud architecture -- tools that combine to propel Quantivo beyond every competing offering by dramatically simplifying data acquisition and enabling users to discover associations in their data through an industry-first train-of-thought query interface. Quantivo's analytics platform has been in commercial use by Fortune 500 companies since 2005, has been awarded five US patents, and is backed by top-tier venture capital firms.

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About ASOS
ASOS is a global online fashion and beauty retailer and offers over 50,000 branded and own-label product lines across womenswear, menswear, footwear, accessories, jewelry and beauty with approximately 1,500 new product lines being introduced each week.

Aimed at fashion-forward twenty-somethings globally, ASOS attracts 18.5 million unique visitors a month and as of December 31, 2011, had 7.0 million registered users and 4.0 million active customers from 191 countries (defined as having shopped in the last 12 months).

For more information, visit

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