Simple and Powerful Model Management and Deployment to Fuel the Analytic Enterprise
Las Vegas, NV – June 6, 2017 — Inspire 2017 — Alteryx, Inc., (NYSE: AYX) a leader in self-service data analytics, today announced it has acquired Yhat, Inc., a data science software company headquartered in Brooklyn, New York.
Yhat specializes in providing data scientists and analysts with self-service data science tools for developing, managing and deploying machine learning models to web and mobile applications faster and with fewer resources. The acquisition will further enhance the Alteryx data analytics platform and build on its strategy to help organizations empower citizen data scientists and trained data scientists to rapidly deploy and manage advanced analytic models.
“Yhat shares a core value with Alteryx of making analytics easier through self-service tools for its customers,” said Dean Stoecker, CEO and co-founder of Alteryx, Inc. “Today’s data scientists are spending too much time building advanced models that never reach deployment. With Alteryx and Yhat technology, we expect to make modeling tools more accessible to accelerate deployment, saving time and frustration, and bringing joy back to data scientists and citizen data scientists alike who love to solve complex business problems.”
Most data scientists today build predictive and machine learning models in open source programming languages and then need to deploy that code into different technology frameworks, which is time consuming, error-prone and requires additional development resources — often stalling data science projects altogether. The Yhat platform helps reduce the roadblock between data scientists and development teams by accelerating the model making and model deployment processes.
“Alteryx already offers a code-free environment for advanced analytics that simplifies data access, preparation, analysis, and consumption,” stated Austin Ogilvie, CEO of Yhat. “We are excited to be part of the Alteryx family, and to help make it even easier to create, manage, and deploy analytic models with fewer resources and in less time.”
About Alteryx, Inc.
Alteryx (AYX) is a leader in self-service data analytics. Alteryx Analytics provides analysts with the unique ability to easily prep, blend and analyze all of their data using a repeatable workflow, then deploy and share analytics at scale for deeper insights in hours, not weeks. Analysts love the Alteryx Analytics platform because they can connect to and cleanse data from data warehouses, cloud applications, spreadsheets and other sources, easily join this data together, then perform analytics — predictive, statistical and spatial — using the same intuitive user interface, without writing any code. Thousands of companies and data analysts worldwide rely on Alteryx daily. Visit www.alteryx.com or call 1-888-836-4274.
Alteryx is a registered trademark of Alteryx, Inc. All other product and brand names may be trademarks or registered trademarks of their respective owners.
This press release contains forward-looking statements that involve risks and uncertainties, including statements regarding the acquisition of Yhat and its impact on the Alteryx data analytics platform, accessibility of modelling tools, and other future events. 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 integrate Yhat’s operations into our business; 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.
Additional risks and uncertainties that could affect our business are included in the Risk Factors section of our Quarterly Report on Form 10-Q for the three months ended March 31, 2017. All forward-looking statements contained herein are based on information available to us as of the date hereof and we do not assume any obligation to update these statements as a result of new information or future events.