328 Alteryx Testimonials

"It has been an amazing transition for my team to start using Alteryx — to go from manual, tedious, cumbersome processes where we still didn't have insight into the data to a world where we have self-service analytics."

“Sometimes a digit or two would be missing but we didn’t realize it because we thought we were doing everything correctly."

“We take data from the blockchain, which is known for being messy, unstandardized, what some people call the Wild West. There’s no set ways, just a lot of things that are undetermined.”

“Designer Cloud brought an entirely new level of productivity to the way our analyst and IT teams explore diverse data and define analytic requirements. Our users can intuitively and collaboratively prepare the growing variety of data that makes up PepsiCo’s analytic initiatives.”

"One of the people in our team who doesn't have a data science background built a model with Alteryx Machine Learning to automatically classify the tax status of products."

"Transforming analytics, data science and process automation with an integrated platform allows us to accelerate outcomes and adapt to ever-changing conditions."

“COVID severely impacted the integrity of the data we had to work with, so we had get creative and use extended historical data, build complex models and test and evaluate the results to accurately forecast revenue."

“We run into all sorts of different ways clients want to see data, and having Alteryx and Snowflake allows us to be flexible and creative on what we deliver at the end of the day."

“That original BI tool that was used to aggregate all of the data, create all the metrics, and push all the essential reports out to everybody was a big ole black box. All the features and capabilities that were used to build the original system were locked behind a very long-forgotten SAAS subscription, which of course we no longer paid for."

“We can update daily—it’s allowed us to reduce that time-to-insight as far as making changes. Because as you know, the product hierarchy needs to be updated daily. We have new items coming in and new changes to items, and, through this process, we can allow this to happen in a rapid way. We don’t have to rely heavily on any technical staff to make this happen.”

“Using Designer Cloud makes your developers a lot more valuable and powerful because they’re able to operate within this community of other people.”

“In total, the overall turnaround time has been reduced by 92 percent for every new clinical studies data our team receives. Additionally, we’ve seen an increase in prediction accuracy by four times its original rate. This has not only helped the company achieve its mission of finding the right patient for the ideal clinical trial, but has increasingly accelerated the pace of discovery.”

“Our automation engine is driven by data. We needed a platform that was capable of connecting to our large volume of data, with real-time or near real-time wrangling and, most of all, that has a simple UI that our existing knowledge workers who have the domain knowledge could be trained to use.”

“With Dataprep, you don’t need to have a large team. In the past, you needed to have a lot of developers or Excel experts. Now they’re no longer required, which translates into payroll savings for the company. There’s also a huge amount of flexibility—if something breaks, it’s a lot easier to troubleshoot a Dataprep flow than it is to troubleshoot multiple queries, especially if you have multiple developers with different coding styles.”

“The data we leverage is extremely varied and undergoes thousands of updates every second, which makes Designer Cloud a critical tool for our data scientists. Designer Cloud accelerates the process of preparing data and allows our data scientists to focus on the analytics that improve the marketplace at Deutsche Börse.”