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.
I have seen a return on investment with SAS Visual Analytics, as it includes AI capabilities and automatic functions with scheduling, allowing reports to be made from live data, which contributes to a new vertical for revenue generation.
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 assist us when we encounter issues and provide help while we complete tasks.
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.
SAS Visual Analytics scalability is very good and positive.
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.
Training on SAS Visual Analytics is required to help overcome these issues.
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.
After implementing SAS Visual Analytics, we have generated a new way to generate revenue by providing live data visuals to our clients and making our team aware of data in real time, which has had a significant positive impact.
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 | Mindshare (%) |
|---|---|
| Tableau Enterprise | 9.7% |
| SAS Visual Analytics | 1.6% |
| Other | 88.7% |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 10 |
| Large Enterprise | 19 |
| Company Size | Count |
|---|---|
| Small Business | 117 |
| Midsize Enterprise | 67 |
| Large Enterprise | 185 |
SAS Visual Analytics offers rapid data processing and advanced forecasting with interactive reporting and visualization. It integrates with diverse data sources, enhancing scalability and automation, enabling data-driven decisions and extensive insight generation.
SAS Visual Analytics provides comprehensive data handling through its advanced reporting and visualization features. Businesses benefit from its ability to process data quickly and deliver insights via interactive dashboards and well-structured reports. Although it faces performance challenges with large datasets and has a complex installation process, it supports both cloud and on-premises deployments. Users can leverage its capabilities in data extraction, transformation, and loading, making it a valuable tool for finance, statistical analysis, and enterprise reporting. Despite some gaps in machine learning and integration with newer data stores, its scalability and flexibility in data management remain key advantages.
What are the most significant features of SAS Visual Analytics?SAS Visual Analytics is implemented across sectors such as insurance and education for tasks like building dashboards and performing business intelligence. It is extensively used in finance and statistical analysis, turning complex data sets into actionable insights, supporting both cloud and on-premises environments.
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.
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