Aug 07, 2020
There are platforms available that enable bridge between technologies. Tableau/Qlik is great visualization from performance and user interface as compared to SAS - #askginie.ai
SAS Visual Analytics and Tableau Enterprise compete in the business intelligence and analytics category. Tableau Enterprise seems to have the upper hand due to its rich visualization options and self-service capabilities.
Features: SAS Visual Analytics offers powerful data analysis tools, seamless data source integration, and advanced statistical reporting. It supports robust statistical analysis, making it ideal for organizations with complex data needs. Tableau Enterprise excels in creating interactive and rich visualizations, utilizes drag-and-drop analytics for quick insights, and enables effective data blending from multiple sources. It prioritizes user engagement and provides easy self-service analytics.
Room for Improvement:SAS Visual Analytics is often criticized for its complex installation, lack of integration with newer technologies, and high licensing costs. Users also find issues with performance and the need for extra software for machine learning. Tableau Enterprise is known for being expensive and could improve its data preparation and ETL functionalities. It also requires more advanced data science capabilities and a more economical licensing model.
Ease of Deployment and Customer Service: SAS Visual Analytics is mainly deployed on-premises with limited hybrid cloud adoption. It has mixed customer service reviews but positive feedback for technical support. Tableau Enterprise offers flexible deployment options, including on-premises, private, and public clouds, promoting easier adoption. Its customer service and technical support also receive mixed reviews but benefit from an extensive community and scenario-based support, which SAS lacks.
Pricing and ROI:SAS Visual Analytics is regarded as a high-end solution with significant costs for additional features. It is suitable for organizations with substantial budgets and large-scale data requirements. Tableau Enterprise has high licensing costs but offers flexible deployment options and robust capabilities, which some users find justify the premium pricing. Both solutions deliver strong ROI in analytics and efficiency, but differences arise in cost structure and flexibility.
The enterprise subscription offers more benefits, ensuring valuable outcomes.
This saves a significant amount of time, particularly for reports that would have needed around fifty people.
The ROI of using Tableau extends to its seamless integration across various platforms, as it's from Salesforce and thus not limited to any specific cloud provider.
Tableau is saving me time, money, and resources, which I would rate as ten.
They provide callbacks to ensure clarity and resolution of any queries.
They provide quick email and phone responses and have Thai-speaking personnel.
There should be consistent standards for all users.
The technical support for Tableau is quite good.
Tableau is easy to use across various dimensions, whether on-premises or on the cloud.
The solution is fully scalable and performs well even with large datasets, provided there is proper supporting hardware.
Tableau is easy to scale.
SAS Visual Analytics is stable and manages data effectively without crashing.
The application hangs after continuous use due to the buildup of cache.
I rate the stability a five or six because Tableau updates very often with new versions or patches.
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.
We cannot send the entire Excel file reports via email within Tableau.
The product owner should enhance its benefits or clarify its role.
It sometimes requires extensive investigation to determine why the data does not appear correctly.
Power BI as a much cheaper alternative.
A license for 150 users costs around $17,000 USD per year.
Looker is known to be quite expensive.
The ability to query information from our Excel data into SAS to view specific data is invaluable.
A significant feature for me is the real-time connection to data sources because it effectively manages large data sets.
Tableau serves as a stable dashboarding tool for higher management, aiding in quick decision-making.
Building hyper extracts and visualization capabilities make Tableau a robust tool for data analysis.
| Product | Market Share (%) |
|---|---|
| Tableau Enterprise | 10.1% |
| SAS Visual Analytics | 1.9% |
| Other | 88.0% |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 19 |
| Company Size | Count |
|---|---|
| Small Business | 117 |
| Midsize Enterprise | 67 |
| Large Enterprise | 184 |
SAS Visual Analytics is a data visualization tool that is used for reporting, data exploration, and analytics. The solution enables users - even those without advanced analytical skills - to understand and examine patterns, trends, and relationships in data. SAS Visual Analytics makes it easy to create and share reports and dashboards that monitor business performance. By using the solution, users can handle, understand, and analyze their data in both past and present fields, as well as influence vital factors for future changes. SAS Visual Analytics is most suitable for larger companies with complex needs.
SAS Visual Analytics Features
SAS Visual Analytics has many valuable key features. Some of the most useful ones include:
SAS Visual Analytics Benefits
There are many benefits to implementing SAS Visual Analytics. Some of the biggest advantages the solution offers include:
Reviews from Real Users
Below are some reviews and helpful feedback written by PeerSpot users currently using the SAS Visual Analytics solution.
A Senior Manager at a consultancy says, “The solution is very stable. The scalability is good. The usability is quite good. It's quite easy to learn and to progress with SAS from an end-user perspective.
PeerSpot user Robert H., Co-owner at Hecht und Heck GmbH, comments, “What I really love about the software is that I have never struggled in implementing it for complex business requirements. It is good for highly sophisticated and specialized statistics in the areas that some people tend to call artificial intelligence. It is used for everything that involves visual presentation and analysis of highly sophisticated statistics for forecasting and other purposes.
Andrea D., Chief Technical Officer at Value Partners, explains, “The best feature is that SAS is not a single BI tool. Rather, it is part of an ecosystem of tools, such as tools that help a user to develop artificial intelligence, algorithms, and so on. SAS is an ecosystem. It's an ecosystem of products. We've found the product to be stable and reliable. The scalability is good.”
Tableau Enterprise offers powerful features for creating interactive visualizations, dashboards, and maps, including drag-and-drop functionality and easy integration with multiple data sources, promoting real-time collaboration and self-service analysis.
Tableau Enterprise stands out with its ability to create user-friendly, interactive visualizations, making it pivotal for business intelligence applications. Users benefit from its seamless connectivity and advanced analytical functions, facilitating data blending and storytelling. Despite a complex learning curve and high licensing costs, its features like geospatial analysis and efficient content distribution drive its indispensable value for data-driven insights. Enhancements in predictive analytics and support integration with machine learning tools further its capabilities across industries.
What are the most valuable features?Tableau Enterprise is widely used for business intelligence, supporting industries like healthcare, telecommunications, and finance. Organizations utilize it to analyze performance indicators, operational insights, and financial analytics, enhancing decision-making through interactive reports and real-time data integration.
We monitor all Data Visualization 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.
