EzzAbdelfattahAssociate Professor of Statistics at KAU
We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"The most valuable feature of this solution is data preparation."
"Alteryx is so advanced. It's just drag and drop."
"The solution offers excellent predicting power. The accuracy and confidence have been great."
"This is a drag-and-drop tool which is easy-to-use and yet can be customized by creating your own components."
"The ease-of-use allows non-technical business users to directly create their own solutions without the use of additional development resources."
"Alteryx has made us more agile and increased the speed and effectiveness of decision making."
"The product is very stable and super fast, five-star. It's significantly more stable than it's nearest competitor."
"The design portion of this tool is easy to use without code, which his something that something we can appreciate."
"Most of the product features are good but I particularly like the linear regression analysis."
"Some of the most valuable features that we are using with some business models are machine learning algorithms, statistical models given to us by the business, and getting data from the database or text files."
"The best part is that they have an algorithm handbook, so you can open it up and understand how it works, and if it is useful, this is very important."
"You can find a complete algorithm in the solution and use it. You don't need to write your own algorithms for predictive analytics. That's the most valuable feature and the main one we use."
"They have many existing algorithms that we can use and use effectively to analyze and understand how to put our data to work to improve what we do."
"It has the ability to easily change any variable in our research."
"The most valuable feature is the user interface because you don't need to write code."
"In terms of the features I've found most valuable, I'd say the duration, the correlation, and of course the nonparametric statistics. I use it for reliability and survival analysis, time series, regression models in different solutions, and different types of solutions."
"The event handling, such that the file system watcher, is in need of improvement."
"It would be great if Alteryx could take third party tools and incorporate them."
"The solution could work on the BI side of the tool to make it a bit better."
"The GUI interface functions but it could stand to be updated to a more modern look and feel."
"There is currently no cloud solution and this would be valuable for many clients."
"The server is too expensive for what you get and it really a designer desktop on a server."
"The only area where the product lags is documentation and videos on the analytical app and the batch macro."
"There are no ready models to use in analytics."
"I think the visualization and charting should be changed and made easier and more effective."
"Technical support needs some improvement, as they do not respond as quickly as we would like."
"The statistics should be more self-explanatory with detailed automated reports."
"Each algorithm could be more adaptable to some industry-specific areas, or, in some cases, adapted for maintenance."
"The product should provide more ways to import data and export results that are user-friendly for high-level executives."
"The design of the experience can be improved."
"This solution is not suitable for use with Big Data."
"Most of the package will give you the fixed value, or the p-value, without an explanation as to whether it it significant or not. Some beginners might need not just the results, but also some explanation for them."
"The pricing is $5000 per year per production license."
"We have a yearly cost that we pay for the licensing. We do not pay any costs in addition to the licensing fees."
"There are some implementation services and internal effort costs at the beginning but there is nothing else."
"The price for Alteryx Designer is reasonable but the price for Alteryx Server for universal collaborations is too expensive."
"Opt for the three year subscription. It is 20% less than the yearly one."
"ROI is huge. There are some secondary benefits, like analysts getting their post 5 PM time back or the ability to shorten all closing processes to a half or less."
"It is $4,000 a year, so it is cheap versus other solutions. It also accomplishes three times the volume on the job in the same time (as the other solutions)."
"I don't know much about the licensing, but there are some additional costs for certain features."
"We think that IBM SPSS is expensive for this function."
"The price of this solution is a little bit high, which was a problem for my company."
"The pricing of the modeler is high and can reduce the utility of the product for those who can not afford to adopt it."
Alteryx is a self-service data analytics solution, that provides a platform that can prep, blend, and analyze all of your data, then deploy and share analytics in hours. It can automate time-consuming and manual data tasks while performing predictive, statistical, and spatial analytics in the same workflow. It uses a drag and drop tool with an intuitive user interface with no coding and programming required. Alteryx licenses are subscription-based and include all product updates and support to their customers.
Alteryx is ranked 1st in Data Science Platforms with 27 reviews while IBM SPSS Statistics is ranked 5th in Data Science Platforms with 16 reviews. Alteryx is rated 8.2, while IBM SPSS Statistics is rated 8.0. The top reviewer of Alteryx writes "Does a good job of end-to-end integration as well as accessing data from multiple sources or email modes". On the other hand, the top reviewer of IBM SPSS Statistics writes "Offers good Bayesian and descriptive statistics". Alteryx is most compared with KNIME, Dataiku Data Science Studio, Databricks, RapidMiner and Microsoft BI, whereas IBM SPSS Statistics is most compared with IBM SPSS Modeler, TIBCO Statistica, Weka, MathWorks Matlab and Microsoft Azure Machine Learning Studio. See our Alteryx vs. IBM SPSS Statistics report.
See our list of best Data Science Platforms vendors.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.