SAS Visual Analytics and MashZone NextGen Business Analytics compete in business data interpretation and visualization. SAS seems to have the upper hand in overall satisfaction and comprehensive data features, while MashZone is strong in analytical capabilities and flexibility.
Features: SAS Visual Analytics offers scalability, insightful visualizations, and comprehensive data integration tools. MashZone NextGen provides flexibility, real-time analytics, and advanced data transformation features, highlighting critical differences in data handling and analytics capabilities.
Ease of Deployment and Customer Service: SAS Visual Analytics offers a streamlined deployment model and robust customer support, emphasizing seamless integration. MashZone NextGen provides flexibility with various deployment options and responsive customer service, focusing on adaptable configurations.
Pricing and ROI: SAS Visual Analytics involves higher setup costs but promises high ROI with extensive data capabilities. MashZone NextGen offers cost-effective entry with competitive pricing, delivering significant ROI through its advanced analytics. SAS caters more to larger enterprises, while MashZone suits those prioritizing cost-effective solutions.
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MashZone NextGen visual analytics software is the fastest way to explore and analyze streaming data and events flowing through and data stored in the Software AG platform. You can quickly connect to any platform product, from Apama to webMethods to ARIS. Blend in any data from any other source—like Microsoft® Excel® spreadsheets, databases, flat files and SAP, Oracle® or SaleForce® systems—for analysis at any time.
Analyze both real-time and at-rest data on one screen to uncover new ways to improve customer satisfaction, supplier management and more.
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.
