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
Alteryx, Inc., a leader in self-service data science and analytics, has revealed that it was named a Leader in Gartner’s 2018 Magic Quadrant for Data Science and Machine-Learning Platforms. This recognization in Gartner Magic Quadrant marks the fifth consecutive time that Alteryx has been positioned in this Magic Quadrant, and the first time the company has been positioned in the Leaders quadrant.
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Opportunity: AI/ML Growing in Prominence but Still Gap Between Supply and Demand in Tech Skills
Most large organizations understand that data and analytics can provide a powerful competitive advantage, but many are struggling to achieve the following-
– leverage many disparate data sources
– adopt a growing number of ML and AI services
– find enough skilled workers to develop an analytic advantage
At the time of the announcement, Langley Eide, Chief Strategy Officer at Alteryx, said, “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.”
Langley added, “We believe that our position as a Leader in this Magic Quadrant underscores our mission to serve an emerging generation of citizen data scientists.”
Alteryx Empowers Data Scientists to Make Powerful Business Impact using Data Science and Analytics
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.
Langley’s colleague at Alteryx and VP of Product Management, Ashley Kramer, said, “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.
Ashley added, “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.”
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.