"Data handling is one of the best features of SAS Visual Analytics."
"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."
"It's relatively simple to create basic dashboards and reports."
"We've found the product to be stable and reliable."
"It's quite easy to learn and to progress with SAS from an end-user perspective."
"Tableau is very good in the front-end visualization compared to Power BI."
"I have found many of the self-service features valuable."
"The ease of presenting findings is very helpful."
"The solution has great features which nobody can beat, you can do a lot of customizations, such as use different dimensions and colorize them. Additionally, you can use the numeric values for the customization, which is an exceptional feature."
"I have found the solution easy to use and the interface is very good."
"It is definitely easy to use. It is intuitive, and more or less, everything can be done from the front end. As such, there is no concept of metadata. You can just take data from a database and start building your own stuff, such as OLAP data warehouse. You don't need extensive metadata modeling like Oracle BI."
"The geospatial maps representation and the visualizations are nice."
"A valuable feature of Tableau is that it is a useful tool for small setups. I shuffle between Tableau and MicroStrategy, so I use Tableau for personal purposes more than enterprise. I like the light version of Tableau for personal usage and doing some use cases on my own. When it comes to something small, I use Tableau for setups, rather than any other tool."
"The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good."
"The licensing ends up being more expensive than other options."
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
"There is a need for coding when it comes to digital reporting which can be intimidating."
"The installation process can be a bit complex."
"To be the best in the market, Tableau has to improve its user interface and also look into developing implementing the best machine learning algorithms."
"The data preparation could integrate better with Tableau."
"Requires a lot of user training."
"The setup was easy but we are having some problems with the configuration that is taking a long time. We have done some initial tests and some of the delays could be from bandwidth issues. However, the whole installation process should be simplified."
"We need big servers to perform the operations that we are doing. They should probably relook at its architecture."
"The price of Tableau is too high."
"Could have more integrations with different platforms."
"It would be nice if we could export more raw data. Currently, there is a limit as to how much data you can export."
SAS Business Intelligence package offers business owners an all-in-one tool for data analysis. It is mainly comprised of analytics software that can handle all of the statistical analysis that a company requires. Functions include mining and managing to fetching important information from a variety of sources and even adapting that information, all for the purpose of analyzing the data for future use.
The SAS Business Intelligence software allows users to handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. Users can also create and publish reports based on their findings so that others in their field can share the information and input suggestions. The graphic presentation is another benefit that many businesses find useful when presenting their findings to others.
Tableau helps people and organizations become more data-driven as the trusted leader in analytics.
The Tableau platform provides the breadth and depth of capabilities to serve the needs of even the largest global enterprises in a seamless, integrated experience. Tableau is designed to fit, not dictate your data strategy, and adapts to your environment with unmatched flexibility and choice, while meeting the toughest governance and security requirements.
People love using Tableau because it is both powerful and intuitive—and offers a fundamentally different user experience by empowering people of all skill levels to explore and analyze data using visuals and natural language. Tableau has become the standard language of analytics for modern business users and continues to lead the industry with the most passionate and engaged user community in analytics, a customer base with millions of users at more than 80,000 organizations, and a deep commitment to customer-focused innovation
SAS Visual Analytics is ranked 6th in Data Visualization with 5 reviews while Tableau is ranked 1st in Data Visualization with 93 reviews. SAS Visual Analytics is rated 7.6, while Tableau is rated 8.0. The top reviewer of SAS Visual Analytics writes "Easy to learn and use with good scalability potential". On the other hand, the top reviewer of Tableau writes "Lets me train new users quickly, easily, and intuitively". SAS Visual Analytics is most compared with Databricks, Microsoft BI, Qlik Sense, Dataiku Data Science Studio and Microsoft Azure Machine Learning Studio, whereas Tableau is most compared with Microsoft BI, SAP Analytics Cloud, MicroStrategy, ELK Kibana and Workday Prism Analytics. See our SAS Visual Analytics vs. Tableau report.
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