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Solving for Data Science … And so Much More

Technology   |   Alan Jacobson   |   Apr 1, 2021

Editor’s Note: Alteryx is proud to be named a Gartner Peer Insights Customers’ Choice for Data Science and Machine Learning Platforms in the recently released 2020 Voice of the Customer report.

The leading companies in the world recognize that digital transformation is a key imperative to success, and Alteryx plays a vital role.

But don’t just take our word for it.

Gartner Peer Insights is a comprehensive platform that provides unfiltered, firsthand product and service ratings and
reviews by experienced enterprise technology buyers.

Customer reviews show where Alteryx puts its focus, which is on delivering a product that executes incredibly wellon its mission to upskill users and help them  experience breakthroughs in their analytic automation journey. With high marks for execution and incredibly strong customer feedback, it’s clear that people who are using Alteryx strongly agree.

Unfortunately, there is not a category in most analyst evaluations that compare platforms that deliver Analytic Process Automation for the enterprise across the analytics continuum. This is not only the category Alteryx is in, but I would suggest is the category Alteryx has created. It is in this category where customers have spoken clearly, placing Alteryx at the top.


Alteryx is hyper focused on ease of use, and has made data science accessible to everyday analysts, business leaders, and executives with its low-code, no-code, and expert options. Capability and accessibility, while different, both provide immense value respectively. By eliminating traditional data science choke points, Alteryx energizes businesses with more insights than ever, and decisions can be made from a vantage point few can match.

“Using the Alteryx platform is one of the effective ways to make impactful and accurate business reports. Even with no programming skills, one can quickly perform analysis on large data to generate insightful results. It’s a value for money. Seamless integration with Python or R helps to achieve more complex workflows.” 

Data Scientist, Services Industry

Finally, Alteryx leverages integrations to both open source and partners to bring leading-edge techniques and process automation in different areas versus developing all of it independently. Examples include speech-to-text with Veritone, Anaconda Python, and the wide range of open source available in easy-to-use integrations.

“We used Alteryx for extract, transform, load and visualization of data for a regulatory reporting use case. We were quite impressed by Alteryx’s functionality and support provided by the Alteryx team to integrate the tool with our visualization platform and multiple  databases. Alteryx made the whole process quite simple, and we didn’t need an advanced level of data modelling/engineering knowledge to use the product — especially when we had to make a lot of changes in our target data model to cater to multiple business scenarios for regulatory reporting.”

— Principal, Financial Services, Finance Industry
All of this shows why Alteryx is so valuable to customers and also why it’s tough to look at Alteryx through a one-dimensional lens. Does Alteryx solve data science? Absolutely, but it also does much more.

“With Alteryx, we get actionable data insights that fuel business decisions. It has been a very useful tool for virtually every division in my organization, as most of the decisions we take are driven by data and the insights we deduce from them. It also makes it possible to understand customer behavior and inject insights into CRM tools.” 

Data Analyst, Finance Industry

One Gartner Peer Insights reviewer summarized the holistic, empowering attributes of Alteryx well when they said, “Being unable to code but still having an analytic mind, Alteryx has enabled me to unleash my inner analyst and yield true business value. Bringing Alteryx to my team revolutionized how we did our jobs and enabled us to upskill quickly and evolve into larger spaces with higher degrees of efficiency and accuracy.” There are many ways to evaluate software, but ultimately, like with most products, one of the best ways is to talk with users and get their views on having actually experienced the good and bad firsthand. We all leverage user ratings in our personal lives, and it’s good to see this approach taken with enterprise technology. Let’s hope everyone gets more customer-focused because of it!

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Footnote: Gartner Peer Insights “Voice of the Customer”: Data Science and Machine Learning Platforms, 10 July 2020

Gartner Peer Insights Customers’ Choice constitutes the subjective opinions of individual end user reviews, ratings, and data applied against a documented methodology; it neither represents the views of, nor constitutes an endorsement by, Gartner or its affiliates.

Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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