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SAS Enterprise Miner vs SAS Visual Analytics comparison

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Featured Review
Buyer's Guide
Data Mining
August 2022
Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: August 2022.
621,327 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:
Pros
"I found the ease of use of the solution the most valuable. Additionally, other valuable features include: the user interface, power to extract data, compatibility with other technologies (specifically with PS400), and automation of several tasks.""The technical support is very good."

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"It integrates well with SAS, making it simple and quick for developers.""Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics.""Data handling is one of the best features of SAS Visual Analytics.""I use Visual Analytics for enterprise reporting.""It's quite easy to learn and to progress with SAS from an end-user perspective.""The product is stable, reliable, and scalable.""It's relatively simple to create basic dashboards and reports.""I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."

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Cons
"The solution is much more complex than other options.""The initial setup is challenging if doing it for the first time."

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"The solution is a little weak at the front end.""The visualization should be better in SAS Visual Analytics. It is easy to use but when compared to other solutions it is lacking and the support is not very good.""The licensing ends up being more expensive than other options.""There is a need for coding when it comes to digital reporting which can be intimidating.""The installation process can be a bit complex.""The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy.""There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else.""There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."

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Pricing and Cost Advice
  • "The solution is expensive for an individual, but for an enterprise/institution (purchasing bulk licenses), it is not a high price for the use that will come from it."
  • More SAS Enterprise Miner 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:We'd prefer it if the solution was open source. That would make it less expensive.
    Top Answer:We really don't like the protocols the solution offers. The solution is much more complex than other options.
    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.
    Top Answer:The solution is a little weak at the front end.
    Ranking
    8th
    out of 16 in Data Mining
    Views
    2,317
    Comparisons
    1,823
    Reviews
    2
    Average Words per Review
    400
    Rating
    6.5
    4th
    out of 58 in Data Visualization
    Views
    8,380
    Comparisons
    6,871
    Reviews
    13
    Average Words per Review
    550
    Rating
    8.3
    Comparisons
    Also Known As
    Enterprise Miner
    SAS BI
    Learn More
    Overview
    SAS Enterprise Miner is a solution to create accurate predictive and descriptive models on large volumes of data across different sources in the organization. SAS Enterprise Miner offers many features and functionalities for the business analysts to model their data. Some of the business applications are for detecting fraud, minimizing risk, resource demands, reducing asset downtime, campaigns and reduce customer attrition.

    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.”

    Offer
    Learn more about SAS Enterprise Miner
    Learn more about SAS Visual Analytics
    Sample Customers
    Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare
    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.
    Top Industries
    REVIEWERS
    Financial Services Firm57%
    Media Company14%
    Retailer14%
    University14%
    VISITORS READING REVIEWS
    Computer Software Company17%
    Financial Services Firm15%
    Comms Service Provider14%
    Government6%
    REVIEWERS
    Insurance Company19%
    Financial Services Firm19%
    Government13%
    Retailer6%
    VISITORS READING REVIEWS
    Computer Software Company21%
    Comms Service Provider14%
    Financial Services Firm12%
    Government9%
    Company Size
    REVIEWERS
    Small Business25%
    Midsize Enterprise33%
    Large Enterprise42%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise14%
    Large Enterprise64%
    REVIEWERS
    Small Business32%
    Midsize Enterprise23%
    Large Enterprise45%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    Buyer's Guide
    Data Mining
    August 2022
    Find out what your peers are saying about Knime, IBM, Weka and others in Data Mining. Updated: August 2022.
    621,327 professionals have used our research since 2012.

    SAS Enterprise Miner is ranked 8th in Data Mining with 2 reviews while SAS Visual Analytics is ranked 4th in Data Visualization with 13 reviews. SAS Enterprise Miner is rated 6.6, while SAS Visual Analytics is rated 8.4. The top reviewer of SAS Enterprise Miner writes "Good technical support but too complex and not open-source". On the other hand, the top reviewer of SAS Visual Analytics writes "Easy to learn and use with good scalability potential". SAS Enterprise Miner is most compared with IBM SPSS Modeler, Microsoft Azure Machine Learning Studio, RapidMiner, Amazon SageMaker and Alteryx, whereas SAS Visual Analytics is most compared with Tableau, Microsoft BI, Databricks, Qlik Sense and IBM Cognos.

    We monitor all Data Mining 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.