

SAS Visual Analytics and OpenText Intelligence are analytics competitors. SAS Visual Analytics is favored for its intuitive functionality and comprehensive features.
Features: SAS Visual Analytics includes strong data integration, interactive reporting, and predictive analytics. OpenText Intelligence offers data mining, cloud-based deployment, and big data capabilities.
Ease of Deployment and Customer Service: SAS Visual Analytics provides flexible deployment and strong customer support. OpenText Intelligence delivers a cloud-based solution but has questionable customer service.
Pricing and ROI: SAS Visual Analytics has a higher initial cost but delivers better ROI. OpenText Intelligence may offer a more cost-effective setup but tends to have lower long-term returns.
| Product | Mindshare (%) |
|---|---|
| SAS Visual Analytics | 1.8% |
| OpenText Intelligence | 1.5% |
| Other | 96.7% |
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 19 |
OpenText Intelligence is a powerful analytics tool designed to help organizations make data-driven decisions through its comprehensive features and applications.
In today’s data-rich environment, OpenText Intelligence stands out with its capabilities to process, analyze, and visualize complex data sets efficiently. It allows enterprises to unlock insights that inform strategy and drive growth. By integrating seamlessly with existing systems, it promotes agility and enhances analytical processes. Users appreciate its ability to transform raw data into actionable intelligence, streamlining operations and fostering a culture of informed decision-making.
What are the standout features of OpenText Intelligence?OpenText Intelligence is effectively utilized across sectors like finance, healthcare, and manufacturing, adapting its functions to meet sector-specific challenges. In finance, it helps manage risk and compliance, while in healthcare, it supports patient data analysis and operational efficiencies. In manufacturing, it aids in supply chain optimization and quality assurance.
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.”
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.