"One of the things I'm most excited about in terms of the times savings that Alteryx provides is I no longer have to manually build all our predictive analytic models by hand. I can run them repeatedly in Alteryx and actually compare numerous different styles of predictive models to find out which is the best for each given situation."
"With Alteryx, the physical, virtual, and race world data can be combined to create optimal efficiency and build the most performant race car possible."
"Before installing Alteryx, when dealing with large data, we used to run the process before lunch, go eat and then rework after lunch. It took a long time to remember what we were doing because we were constantly having to interrupt our thoughts."
“We’ve come to appreciate the power of the platform and what can be achieved. The holy grail for us was bringing country data together. We’ve not been able to do that previously because of all of the naming conventions and I think we’re only really scratching the surface of what that can do for our business.”
“The beauty of Google Cloud Dataprep is that it’s very easy to use. We have people that don’t know how to write a line of SQL who are able to prep data at a pretty large scale, all because the interface is so easy to use.”
"Within gallery we have the capability to administer user access, change management and version control are inherent. From an audit and compliance standpoint we have the capability to go back and take a look at who made changes, that’s a critical step for SOX compliance."
“If you’re someone that has been writing in Python and SQL and you switched to Alteryx, you’re able to be more efficient with your time with a higher output.”
“We were facing many problems extracting the data because of the variety of data sources."
“We found Alteryx to be most useful because of it’s simple interface and high processing power."
"Alteryx unlocks the insights that are buried in your data, so you can experience the thrill of getting to answers faster."
“While reflective of our commitment to personalized client service, our thorough review process needed an upgrade.”
“That requires us to do research for every report cycle to make sure we’re up to date.”
“The data is coming from multiple, disparate sources like disbursement bank accounts, accounts receivable and payable, and payroll."
“He began to grow beyond that, working with local John Deere dealers and then aggregating them into group programs, finding efficiencies through that. Then that exploded into working with them across the entire country.”
“Since Excel is not repeatable, they had to do the same task every day or every week.”