Alteryx Positioned as a Leader in Gartner 2018 Magic Quadrant for Data Science and Machine-Learning Platforms
Company Appears in Fifth Consecutive Report, Moves from Position as a Challenger in the 2017 Version to Position as a Leader in the 2018 Version
Irvine, CA — February 26, 2018 — Alteryx, Inc. (NYSE: AYX), revolutionizing business through data science and analytics, today revealed that it was named a Leader in Gartner’s 2018 Magic Quadrant for Data Science and Machine-Learning Platforms1. This achievement marks the fifth consecutive time that Alteryx has appeared in this Magic Quadrant, and the first time the company has been positioned in the Leader's quadrant.*
"Most large organizations understand that data and analytics can provide a powerful competitive advantage, but many are struggling to (i) leverage many disparate data sources; (ii) adopt a growing number of ML and AI services; and (iii) find enough skilled workers to develop an analytic advantage. We are seeing increased demand for a common platform that enables the line-of-business to take full advantage of their data assets, whether users prefer a code-free or code friendly experience," said Langley Eide, Chief Strategy Officer at Alteryx. "We believe that our position as a Leader in this Magic Quadrant underscores our mission to serve an emerging generation of citizen data scientists"
In the last 12 months, Alteryx has introduced several new solutions that help round out its end-to-end analytics platform, aiming to empower data scientists and analysts alike to break down data barriers and experience the thrill of getting to business-changing insights faster than ever. Alteryx Promote, a component of the Alteryx platform, allows both data scientists and citizen data scientists to deploy predictive models directly into business systems through an API, and then manage and monitor model performance over time. Alteryx Promote is expected to be generally available in early 2018 and is the result of the company's acquisition of Yhat, a Brooklyn-based data science company, announced in June 2017.
"Many organizations struggle to drive business value from their advanced analytic initiatives—whether because of a data scientist talent shortage or the fact that a large number of analytical models are never actually deployed," said Ashley Kramer, VP of Product Management at Alteryx. "We've made significant advances to the Alteryx platform that address these two issues and empower any data worker, whether a data scientist or business user, to deliver real insights and meaningful business impact."
To get a copy of the report, please visit www.alteryx.com/gartner2018MQ.
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Revolutionizing business through data science and analytics, Alteryx offers an end-to-end analytics platform which empowers data analysts and scientists alike to break data barriers, deliver insights, and experience the thrill of getting to the answer faster. Organizations all over the world rely on Alteryx daily to deliver actionable insights. For more information visit www.alteryx.com.
Alteryx is a registered trademark of Alteryx, Inc. All other product and brand names may be trademarks or registered trademarks of their respective owners.
Safe Harbor Statement
This press release contains forward-looking statements that involve risks and uncertainties, including statements regarding the expected availability of Alteryx Promote and its impact on the advanced analytic capabilities of the Alteryx platform, including model deployment. These forward-looking statements are only predictions and may differ materially from actual results due to a variety of factors including, but not limited to: our ability to develop and integrate Alteryx Promote into our platform; our ability to develop and release product and service enhancements and new products and services to respond to rapid technological change in a timely and cost-effective manner; intense and increasing competition in our market; and other general market, political, economic, and business conditions.
1Gartner "Magic Quadrant for Data Science and Machine-Learning Platforms" by Carlie J. Idoine, Erick Brethenoux, Jim Hare, Peter Krensky, Shubhangi Vashisth, Svetlana Sicular; February 22, 2018.*The report was formerly titled Magic Quadrant for Data Science Platforms and Magic Quadrant for Advanced Analytics Platforms.