SAS Visual Analytics and Visual Layer compete in the advanced data analysis and visualization category. SAS Visual Analytics seems to lead with its comprehensive features for in-depth analytical exploration, while Visual Layer appears more favorable for modern data visualization due to its intuitive design.
Features: SAS Visual Analytics provides robust handling of complex data sets, advanced statistical analysis, and interactive dashboards. Visual Layer focuses on creative visualizations, ease of use, and faster insights through visually appealing representations.
Ease of Deployment and Customer Service: SAS Visual Analytics offers both cloud and on-premise deployment with a focus on security and compliance, alongside traditional support services. Visual Layer ensures quick and minimal downtime deployment through its cloud-native approach and offers proactive customer service assistance.
Pricing and ROI: SAS Visual Analytics involves a higher setup cost, justified by long-term ROI for intensive analytics, while Visual Layer provides a cost-effective solution with quicker ROI attributed to lower upfront costs and effective data visualization capabilities.
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.”
Visual Layer offers a robust framework equipped to handle complex data visualization needs, providing a seamless integrated platform suitable for a tech-centric audience.
Visual Layer effectively addresses the challenges of data-intensive environments. It merges advanced visual tools with intelligent data processing, enabling users to create meaningful insights from large datasets. This integration is crafted to support informed decision-making processes applicable across a range of industries. With an emphasis on agility, it ensures flexibility and adaptability, catering to the evolving demands of its users.
What are the key features of Visual Layer?Visual Layer sees application across sectors such as finance, healthcare, and manufacturing, where data-driven strategies are pivotal. In finance, it enables real-time analysis of market trends. Healthcare professionals utilize it for patient data management, improving care outcomes. Manufacturing benefits from predictive analytics, optimizing production processes.
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.