We performed a comparison between SAS Visual Analytics, Tableau, and XLCubed based on real PeerSpot user reviews.
Find out what your peers are saying about Tableau, Qlik, Splunk and others in Data Visualization."It provided the capability to visualize a bunch of data in an organized way."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"The flexibility of the configuration is valuable to me."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"Data handling is one of the best features of SAS Visual Analytics."
"Great for handling complex data models."
"Tableau's visualization features let you present information insights quickly and practically. So it's something which I prefer with Tableau. In terms of reporting, I have to point out the sheer quality and function of the Tableau server, but the first impression is that it's a great visualization tool."
"Tableau Prep tool for data preparation is a most valuable tool."
"It is a complete solution allowing a lot of integrations, different graphics, multiple operations and analyzes our date and gives us meaning from it."
"It most valuable feature is its ease of developing visualizations, not just charts and graphs."
"It is so easy to do a lot of things. There is a lot of flexibility and creativity in this product. In other products, you don't have this flexibility."
"It allows us to basically understand and evaluate our numbers in an expedient manner."
"The best part about Tableau is the visualization."
"The solution is easy to use, flexible, our clients enjoy seeing the data on maps, and you do not need to be an expert in SQL to use it."
"Great capability, performance, flexibility, visuals, and the solution is also very cost effective."
"I am looking forward to testing their full graphics that are available, as they looked very interesting in the demo."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"Colours used on report objects"
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"SAS Visual Analytics could be more user-friendly."
"There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"A bit more flexibility in the temperatization will be helpful."
"It's already using 32 gigabytes of memory, but the performance is not so good. It's very heavy."
"What is happening, with so many tools coming up in the market, is that people have to continuously get educated in order to use some of the more advanced features."
"The data preparation could integrate better with Tableau."
"In the next release, there should be more information describing each chart because users have a difficult time telling them apart. They should also include the animations/videos, similar to Power BI."
"In the cloud sometimes the performance is a little bit slow."
"There's no mature ETL tool in Tableau, which is quite a negative for them."
"I have used Power BI as well as Tableau. There are a couple of interesting features that I like in Power BI, but they are not present in Tableau. For example, in Power BI, if I am looking at country-wise population, I can type and ask for the country that has the maximum population, and it will automatically give an answer and address that query. This kind of feature is not there in Tableau. Similarly, in Power BI, for integrating with the latest ML algorithms, we have decision trees and primarily multiple machine learning algorithms. The decision tree essentially visualizes the patterns in the data. We don't have such a feature in Tableau. If Tableau can integrate with the machine learning algorithms and help us to do visualizations, it would be a wonderful combination. Most of the people are going for Tableau primarily for visualization purposes. However, in the data science industry, users want to do model building as well as tell a story. As of now, Tableau is fulfilling the requirements for visualization purposes. If they can bring it up to a level where I can use it for machine learning purposes as well as for visualization, it would be very helpful. Many people who want to do data science don't want to write a code. Tableau is anyway a drag and drop tool, and if they can provide those options as well, it will be a powerful combination."
"The solution does have scalability issues."
"Would like the ability to be able to benchmark."
"There should be a better or an easier way to establish that connection to external sources."
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