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.
| Product | Mindshare (%) |
|---|---|
| SAS Visual Analytics | 1.7% |
| Tableau Enterprise | 10.3% |
| Qlik Sense | 5.2% |
| Other | 82.8% |
| Type | Title | Date | |
|---|---|---|---|
| Category | Data Visualization | May 9, 2026 | Download |
| Product | Reviews, tips, and advice from real users | May 9, 2026 | Download |
| Comparison | SAS Visual Analytics vs Tableau Enterprise | May 9, 2026 | Download |
| Comparison | SAS Visual Analytics vs Splunk Cloud Platform | May 9, 2026 | Download |
| Comparison | SAS Visual Analytics vs Apache Superset | May 9, 2026 | Download |
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Tableau Enterprise | 4.2 | 10.3% | 90% | 309 interviewsAdd to research |
| SAP BusinessObjects Business Intelligence | 3.9 | 3.1% | 91% | 114 interviewsAdd to research |
| Company Size | Count |
|---|---|
| Small Business | 11 |
| Midsize Enterprise | 6 |
| Large Enterprise | 15 |
| Company Size | Count |
|---|---|
| Small Business | 109 |
| Midsize Enterprise | 80 |
| Large Enterprise | 213 |
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.
SAS Visual Analytics was previously known as SAS BI.
Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
| Author info | Rating | Review Summary |
|---|---|---|
| Senior Manager: ICT Compliance at DEPARTMENT OF PUBLIC SERVICE AND ADMINISTRATION | 5.0 | I have been using SAS Visual Analytics since 2015 for analyzing ICT expenditure and personnel data. It facilitates efficient querying and reporting, though I wish it included AI capabilities. Its cost-effectiveness reduces our resource needs and provides excellent value. |
| Director of Mergers and Acquisitions at Look Alive Investment Pvt. Ltd. | 5.0 | I've used SAS Visual Analytics extensively for budgeting, appreciating its platform versatility and Excel integration. Despite its effectiveness, support services need improvement. It remains cost-effective, allowing me to provide detailed financial reports even in smaller companies. |
| Executive Head of analytics at a retailer with 5,001-10,000 employees | 3.5 | We use SAS Visual Analytics primarily for reporting and dashboarding. Its visualization and email features are valuable, but it lacks some capabilities compared to Power BI and Excel, especially in data integration and customization. Power BI and Qlik are main competitors. |
| Oversight at a government with 1,001-5,000 employees | 3.5 | I work for the European Banking Authority, using SAS Visual Analytics for data integration and visualization from various financial institutions. Its advanced technologies enhance quality assurance, although it's costly and needs more language support. We've achieved improved analytics and efficiency. |
| Committee Member at a government with 10,001+ employees | 5.0 | I find SAS Visual Analytics valuable for exploring data to gain an initial understanding before deep analysis. However, it could be improved by becoming more accessible for external users, where open-source tools often perform better. |
| Associate Director at B3 | 4.0 | I use SAS Visual Analytics for operation monitoring, valuing its data exploration capabilities. However, its stability is poor, setup was complex, and scalability is a concern. Customer support is also lacking, despite an 8/10 overall rating. |
| Senior Architect at a tech services company with 11-50 employees | 4.0 | I use SAS Visual Analytics to visualize data across sectors like government and education. Its ease of use and data visualization capabilities uncover hidden insights, though integration could be improved. I chose it over Qlik and Power BI for its powerful analysis. |
| Project Manager at a government with 10,001+ employees | 4.5 | I find SAS Visual Analytics to be a powerful tool that we use for statistics and dashboards. Its flexible configuration allows us to integrate various objects, but I believe the graphics could improve by incorporating more 2D designs instead of 3D. |
