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SAS Visual Analytics vs Space Time Research SuperSTAR comparison

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Featured Review
Buyer's Guide
Data Visualization
June 2022
Find out what your peers are saying about Tableau, Informatica, Qlik and others in Data Visualization. Updated: June 2022.
610,336 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "$10,000 per annum for an enterprise license."
  • "The cost of the solution can be expensive. There is an additional cost for users."
  • "Visual Analytics is expensive for a small company like mine. You also need to deploy it on a server or cloud, so you pay for the license as well as the cost of the cloud or the server that you will deploy on."
  • "SAS Visual Analytics is expensive, as is the rest of the platform."
  • "It's approximately $114,000 US dollars per year."
  • "It was licensed for corporate use, and its licensing was on a yearly basis."
  • More SAS Visual Analytics Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:There are platforms available that enable bridge between technologies. Tableau/Qlik is great visualization from performance and user interface as compared to SAS - #askginie.ai
    Top Answer:Great for handling complex data models.
    Top Answer:I don't directly deal with licensing. I can't speak to the exact price of the product.
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    Ranking
    4th
    out of 58 in Data Visualization
    Views
    8,381
    Comparisons
    6,993
    Reviews
    13
    Average Words per Review
    550
    Rating
    8.3
    51st
    out of 58 in Data Visualization
    Views
    49
    Comparisons
    28
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    SAS BI
    SuperSTAR , SuperSTAR Platform
    Learn More
    Space Time Research
    Video Not Available
    Overview

    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:

    • Data
    • Interactive data discovery
    • Augmented analytics
    • Chat-enabled analytics
    • Sharing and collaboration
    • Visual analytics apps
    • Embedded insights
    • Location analytics
    • Security and administration
    • In-memory engine

    SAS Visual Analytics Benefits

    There are many benefits to implementing SAS Visual Analytics. Some of the biggest advantages the solution offers include:

    • Machine learning and natural language: SAS Visual Analytics uses machine learning and natural language explanations to find, visualize, and narrate stories and insights that are easy to understand and explain. This enables you to find out why something happened, examine all options, and uncover opportunities hidden deep in your data.
    • Easy and efficient reporting: With SAS Visual Analytics, you can create interactive reports and dashboards so you can quickly summarize key performance metrics and share them via the web and mobile devices.
    • Easy to use: SAS Visual Analytics was designed to be easy to use. Its easy-to-use predictive analytics enables even business analysts to assess possible outcomes, which also helps organizations make smarter, data-driven decisions.
    • Self-service data: Self-service data preparation gives users the ability to import their own data, join tables, create calculated columns, apply data quality functions, and more. In turn, the solution empowers users to access, combine, clean, and prepare their own data in an agile way, which helps facilitate faster, broader adoption of analytics for your entire organization.

    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.”

    Underpinning the SuperSTAR solution set is the SuperSTAR platform, comprising SuperSERVER and SuperCHANNEL, which provides a common platform and database format for all clients. With consistent privacy protection and access control, integrated metadata and fast tabulations across microdata, SuperSERVER powers organisations to better, faster and more secure analysis of their data.

    When a superior data load tool is needed, SuperCHANNEL offers key advantages. With branched hierarchy capabilities, survey support and the ability to read from the most popular database formats, SuperCHANNEL is a powerful element in managing your data throughout its lifecycle.

    With the SuperSTAR Platform, you are able to transform your data into the proprietary SuperSTAR databases, with their unparalleled capabilities for analysis and dissemination.

    Offer
    Learn more about SAS Visual Analytics
    Learn more about Space Time Research SuperSTAR
    Sample Customers
    Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
    Australian Taxation Office (ATO), Department for Work and Pensions (DWP), Catholic Education Office (CEO), Census, GROS, Tourism Research Australia (TRA), US Census Bureau, Statistics South Africa
    Top Industries
    REVIEWERS
    Insurance Company19%
    Financial Services Firm19%
    Government13%
    Retailer6%
    VISITORS READING REVIEWS
    Computer Software Company22%
    Comms Service Provider13%
    Financial Services Firm12%
    Government9%
    No Data Available
    Company Size
    REVIEWERS
    Small Business32%
    Midsize Enterprise23%
    Large Enterprise45%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise13%
    Large Enterprise71%
    No Data Available
    Buyer's Guide
    Data Visualization
    June 2022
    Find out what your peers are saying about Tableau, Informatica, Qlik and others in Data Visualization. Updated: June 2022.
    610,336 professionals have used our research since 2012.

    SAS Visual Analytics is ranked 4th in Data Visualization with 13 reviews while Space Time Research SuperSTAR is ranked 51st in Data Visualization. SAS Visual Analytics is rated 8.4, while Space Time Research SuperSTAR is rated 0.0. The top reviewer of SAS Visual Analytics writes "Easy to learn and use with good scalability potential". On the other hand, SAS Visual Analytics is most compared with Tableau, Microsoft BI, Databricks, Qlik Sense and Dataiku Data Science Studio, whereas Space Time Research SuperSTAR is most compared with .

    See our list of best Data Visualization vendors.

    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.