SAS Visual Analytics vs Sisense comparison

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3,032 views|2,432 comparisons
96% willing to recommend
Sisense Logo
1,054 views|958 comparisons
95% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between SAS Visual Analytics and Sisense based on real PeerSpot user reviews.

Find out in this report how the two Data Visualization solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed SAS Visual Analytics vs. Sisense Report (Updated: March 2024).
769,630 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"It's relatively simple to create basic dashboards and reports.""I use Visual Analytics for enterprise reporting.""The speed to display charts and react to users' choices is great.""The technical support services are good.""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.""It's a stable, reliable product.""The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes.""Great for handling complex data models."

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"​Allows users to build their own solutions without as much reliance on technology staff.""The most valuable thing I have found is the ability for Sisense to connect data from totally different sources.""The best part about this solution is how easy it is to mash up the data from many sources. Sisense is fast compared to other solutions.""The dashboard design interface is very intuitive and allows you to quickly and easily produce professional, innovative dashboards.""The solution's technical support team is good.""Allows us to execute heavy, complex computations on the fly so customers can slice and dice the data based on their business needs.""Whenever we have an issue or are unsure how to proceed, they manage to simplify the issue and help us execute it in a graceful and scalable way.""There are many built-in connectors, which allow us to easily add new sources of data, often in minutes."

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Cons
"The installation process can be a bit complex.""I haven't come across any missing features.""The charts and tables could use better sorting, primarily using other variables than the ones on the figure. If they could implement views like in the older version (previous to Viya), it would be very nice.""There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance.""There is a need for coding when it comes to digital reporting which can be intimidating.""The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive.""SAS Visual Analytics could be more user-friendly.""In Brazil, there are few documents, courses, and other resources for studying and implementing the tool."

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"I would like Sisense to improve its performance, particularly when we are dealing with large-scale data.""Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T""The solution's setup process could be easier.""This solution does not have tabs. In order to have tabs, you have to download an add-on to mimic the tabs. They should be integrated to improve the solution.""I would also like to be able to run a bursts of reports based on different field values with PDF output right in the tool, rather than filtering on each field value and generating each PDF manually.""I would love to have more customization capabilities for building dashboards, especially in creating custom widget sizes.""At present there are additional costs involved if we wish to share our data queues within this solution, which we would like to see removed.""The administrative side of Sisense is a little cumbersome and confusing."

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Pricing and Cost Advice
  • "Licensing is simple."
  • "$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."
  • "The product is expensive."
  • More SAS Visual Analytics Pricing and Cost Advice →

  • "This solution is more expensive than Tableau, Qlik and Dundas. It is an expensive tool. They charge $75,000 while Tableau is $45,000."
  • More Sisense Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with… more »
    Top Answer:The product is expensive and needs the integration of more languages.
    Top Answer:The solution's technical support team is good.
    Top Answer:Sisense is good in terms of visualization, but it has some drawbacks. For example, it doesn't have any way to sort or filter tables directly on the server side. Also, you can't have multiple tabs; it… more »
    Top Answer:We use the solution to centralize all processes.
    Ranking
    8th
    out of 71 in Data Visualization
    Views
    3,032
    Comparisons
    2,432
    Reviews
    8
    Average Words per Review
    393
    Rating
    8.5
    14th
    out of 71 in Data Visualization
    Views
    1,054
    Comparisons
    958
    Reviews
    5
    Average Words per Review
    373
    Rating
    7.4
    Comparisons
    Also Known As
    SAS BI
    Learn More
    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.”

    Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze large, complex datasets. Sisense’s Single-Stack BI software includes data preparation, data management, analysis, visualization and reporting capabilities.

    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.
    Ebay, WIX, Wave Accounting, ESPN.com, Magellan Luxury Hotel, Paylogic, Sony, Merck, EDA, One Hour Translation, NASA, Plastic Jungle, Philips, Yahoo
    Top Industries
    REVIEWERS
    Government25%
    Insurance Company15%
    Financial Services Firm15%
    Outsourcing Company5%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Government13%
    Computer Software Company12%
    University7%
    REVIEWERS
    University17%
    Media Company13%
    Retailer8%
    Comms Service Provider8%
    VISITORS READING REVIEWS
    Financial Services Firm24%
    Computer Software Company16%
    Healthcare Company6%
    Government6%
    Company Size
    REVIEWERS
    Small Business31%
    Midsize Enterprise19%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    REVIEWERS
    Small Business57%
    Midsize Enterprise17%
    Large Enterprise26%
    VISITORS READING REVIEWS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise60%
    Buyer's Guide
    SAS Visual Analytics vs. Sisense
    March 2024
    Find out what your peers are saying about SAS Visual Analytics vs. Sisense and other solutions. Updated: March 2024.
    769,630 professionals have used our research since 2012.

    SAS Visual Analytics is ranked 8th in Data Visualization with 35 reviews while Sisense is ranked 14th in Data Visualization with 39 reviews. SAS Visual Analytics is rated 8.0, while Sisense is rated 8.8. The top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". On the other hand, the top reviewer of Sisense writes "Business intelligence solution that has improved automation and provided meaningful insights". SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio, whereas Sisense is most compared with Microsoft Power BI, Tableau, Apache Superset, Qlik Sense and Amazon QuickSight. See our SAS Visual Analytics vs. Sisense report.

    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.