Panorama Necto and SAS Visual Analytics are competing analytics solutions in the business intelligence category. Panorama Necto shines in pricing and support, whereas SAS Visual Analytics stands out for its advanced features, making it appealing for those in need of comprehensive analytics capabilities.
Features: Panorama Necto offers simplified data modeling, collaborative capabilities, and intuitive visualizations that aid in decision-making. SAS Visual Analytics provides advanced predictive analytics, robust reporting, and extensive data integration, positioning it as a powerful tool for complex data analysis.
Room for Improvement: Panorama Necto could enhance its support for big data analysis, predictive capabilities, and reporting customization. SAS Visual Analytics may need to improve in areas such as easing the learning curve, offering more lightweight deployment options, and expanding user-friendly features for non-technical users.
Ease of Deployment and Customer Service: Panorama Necto has a straightforward deployment process supported by comprehensive customer service, ideal for quick starts and ongoing guidance. SAS Visual Analytics offers a flexible deployment model and solid support, focusing on customization and scalability.
Pricing and ROI: Panorama Necto often features lower setup costs, providing a quicker path to ROI, suitable for budget-sensitive companies. SAS Visual Analytics requires a higher initial investment, justified by its extensive feature set, attractive to larger enterprises looking for substantial long-term benefits.
The enterprise subscription offers more benefits, ensuring valuable outcomes.
They provide callbacks to ensure clarity and resolution of any queries.
SAS Visual Analytics is stable and manages data effectively without crashing.
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI.
The ability to query information from our Excel data into SAS to view specific data is invaluable.
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.