

SAS Visual Analytics and Knowi compete in the business intelligence analytics category. SAS Visual Analytics has the upper hand with its comprehensive analytical tools, while Knowi stands out for seamless integration and ease of use.
Features: SAS Visual Analytics offers advanced analytical tools, interactive visualizations, and automated insights. Knowi connects directly to NoSQL databases, provides real-time analytics, and shows strong adaptability with integration potential.
Ease of Deployment and Customer Service: SAS Visual Analytics requires a more detailed setup process due to its comprehensive tools, offering robust support for enterprise deployments. Knowi provides a straightforward cloud-based implementation, facilitating faster deployment with flexible customer service.
Pricing and ROI: SAS Visual Analytics involves a higher initial investment but can yield high ROI in extensive enterprise environments. Knowi offers competitive pricing appealing for budget-conscious businesses, presenting a favorable cost-to-feature ratio for smaller teams with less upfront costs.
| Company Size | Count |
|---|---|
| Small Business | 13 |
| Midsize Enterprise | 8 |
| Large Enterprise | 19 |
Knowi is a dynamic analytics platform designed to leverage the power of data through seamless integration, transforming insights into impactful decisions for businesses.
Knowi bridges data silos, offering businesses the ability to perform in-depth analytics without intricate data transformation. By connecting to various data sources, Knowi enables users to create, manage, and share dashboards and visualizations easily. It supports a spectrum of applications ranging from business intelligence to IoT analytics, providing advanced data exploration capabilities.
What are Knowi's key features?In finance, Knowi aids in real-time risk management by rapidly processing massive datasets. In healthcare, enhances patient data analysis, allowing for improved care strategies. Tech companies utilize Knowi for R&D, driving faster innovation cycles due to efficient data monitoring and analysis.
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.