If you were talking to someone whose organization is considering Alteryx, what would you say?
How would you rate it and why? Any other tips or advice?
We're Alteryx partners. We handle various deployment models, depending on the client's needs. I've worked with other solutions such as Knime, among other tools for data science and data prep. It's great that this solution is just drag and drop and easy. I'd recommend the solution. I'd rate it 9.5 out of ten.
Alteryx is very good. You can do literately anything on Alteryx. Alteryx is so advanced. It's just drag and drop. You don't need to know any coding or other technical stuff to use Alteryx. On a scale from 1 to 10, where 1 is the worst and 10 is the best, I would rate Alteryx a 10. No doubt, a 10.
Advice that I would give to people considering Alteryx as a solution depends on the real needs from business to business and in accord with what use cases they have. I think Alteryx definitely takes away the potential problem of having to have a lot of technical expertise. Any business user can use Alteryx to develop their business case and use the program's options much quicker without having the technical knowledge and programming know-how. It really depends on the skills and resources of the individuals in the company. They should use Alteryx if they want users to be able to walk through the process and deploy their own use cases without having a deeper technical knowledge and skills that other products may require. What we have learned from using the product is that it is definitely a great advantage for the business users to not need to have great technical skills and programming knowledge to complete their analysis. The business users can build their own analytical use case, visualize what they want to do more easily and quickly, and revise it without any dependencies on other staff and additional communications. On a scale from one to ten where one is the worst and ten is the best, I would rate this product as a seven-out-of-ten.
I would suggest that the decision to purchase the product should be based on a company's level of deployment. If it's for a process for a pharma company, which is a smaller enterprise. then I recommend starting with KNIME. As the data gets bigger, switch to Alteryx. I think they should have a student version just like Tableau does. Not all the tools, but the basic top 10 or 15 tools. The reason I suggest this is because there's a huge need for Alteryx users, but because of its 14-day trial period, a lot of students cannot get a handle on it so a scaled-down light version would be good. I would rate this product an 9 out of 10.
I have a really good impression of Alteryx at this point in time. So I would suggest to people who are considering this type of solution to go ahead and try it. If you are looking for a self-service data analytics tool, Alteryx is a good solution. It does a good job of end-to-end integration as well as accessing data from multiple sources or email modes. Then you can push data out to Tableau and Power BI or tools like that if you need other capabilities. So, 'go ahead and try it' would be my recommendation. On a scale from one to ten where ten is the best and one it the worst, I would rate Alteryx as easily a solid eight. From my use case and considering the point that I'm not seeing and using everything, I can't give it more or less. But from our use case and what we have in our company, it is pretty good for several purposes.
I would advise that you should ask yourself what you need and want, and do a one-month trial.
Download the trial and test it. You will be amazed. It is the complete package for people who work with data. Most important criteria when selecting a vendor: * Provide a good product. * Have good support. * Needs a clear vision of the future with a very solid roadmap.