Google Data Studio vs SAS Visual Analytics comparison

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1,733 views|1,887 comparisons
88% willing to recommend
SAS Logo
3,388 views|2,758 comparisons
96% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

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Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Data Studio integrates seamlessly with other Google products, and we can use it with other APIs if we like.""I find it favorable regarding speed of development, ease of building, and flexibility.""Valuable features include advanced integrated analysis and easy implementation.""The ability to design complex data models and equations.""The ability to integrate with a great variety of data sources.""I am impressed with the tool's scheduling mechanism, refresh mechanism, and different types of charts.""The company dashboard is useful because we could share it via a link as a reminder for everyone to check it weekly. We observed the progress of our portfolio from last week to the current week, allowing us to compare revenues.""This has improved our organization by allowing people to see their data and develop visualizations themselves."

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"I use Visual Analytics for enterprise reporting.""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.""The flexibility of the configuration is valuable to me.""It integrates well with SAS, making it simple and quick for developers.""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.""Data handling is one of the best features of SAS Visual Analytics.""Great for handling complex data models.""We've found the product to be stable and reliable."

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Cons
"Stability and scalability an be improved for a full ten.""There is a significant degree of sophistication required to compete with Tableau or Cognos.""Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful.""There are issues with integration and I encountered limits and warnings, especially with my pivot table size.""It's not yet a replacement for a complete BI tool.""Other tools might be worth considering if you need more advanced features or support for a larger user base.""The tool should come up with data modeling layer features that are present in other products like Power BI.""When you physically install a product on one machine instead of the cloud, you have a better visibility, best icon quality, etc.. It's more of an issue with how we are adapting to the transition. We are still in the early moments of using this tool, and we need to go deeper to discover some improvements."

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"Colours used on report objects""Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help.""There is a need for coding when it comes to digital reporting which can be intimidating.""The installation process can be a bit complex.""There are scalability issues. It depends on the data volume and number of end-users. VA requires a lot of hardware resources to move volumes of data.""I haven't come across any missing features.""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.""The licensing ends up being more expensive than other options."

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Pricing and Cost Advice
  • "The tool is free."
  • "The solution is free but the Google Looker is expensive."
  • "The cost is quite affordable based on feature analysis."
  • More Google Data Studio 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 →

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    Questions from the Community
    Top Answer:I find it favorable regarding speed of development, ease of building, and flexibility.
    Top Answer:The potential challenge, especially when considering a larger user base, is that the expenses can significantly add up. There are issues with integration and I encountered limits and warnings… more »
    Top Answer:By integrating Data Studio into our services, we not only provide added value to our existing customers but also ensure stability in traffic and minimize the cost of sales. This strategic move allows… more »
    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.
    Ranking
    14th
    out of 50 in Reporting
    Views
    1,733
    Comparisons
    1,887
    Reviews
    4
    Average Words per Review
    370
    Rating
    7.5
    7th
    out of 70 in Data Visualization
    Views
    3,388
    Comparisons
    2,758
    Reviews
    8
    Average Words per Review
    393
    Rating
    8.5
    Comparisons
    Also Known As
    Data Studio
    SAS BI
    Learn More
    Overview

    Google Data Studio (beta) turns your data into informative dashboards and reports that are easy to read, easy to share, and fully customizable. Dashboarding allows you to tell great data stories to support better business decisions.

    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.”

    Sample Customers
    Genesys, Shueisha
    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
    VISITORS READING REVIEWS
    Computer Software Company16%
    Manufacturing Company11%
    Financial Services Firm10%
    Educational Organization7%
    REVIEWERS
    Government25%
    Insurance Company15%
    Financial Services Firm15%
    Retailer5%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Government13%
    Computer Software Company12%
    University7%
    Company Size
    REVIEWERS
    Small Business38%
    Midsize Enterprise25%
    Large Enterprise38%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise15%
    Large Enterprise61%
    REVIEWERS
    Small Business31%
    Midsize Enterprise19%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    Buyer's Guide
    Reporting
    April 2024
    Find out what your peers are saying about Microsoft, Tableau, Oracle and others in Reporting. Updated: April 2024.
    768,886 professionals have used our research since 2012.

    Google Data Studio is ranked 14th in Reporting with 8 reviews while SAS Visual Analytics is ranked 7th in Data Visualization with 35 reviews. Google Data Studio is rated 7.6, while SAS Visual Analytics is rated 8.0. The top reviewer of Google Data Studio writes "The cloud environment makes it easier to use large volumes of data and collaborate with coworkers". On the other hand, the top reviewer of SAS Visual Analytics writes "Single environment for multiple phases saves us time, and has good visualizations". Google Data Studio is most compared with Amazon QuickSight, Tableau, Looker, Microsoft Power BI and TIBCO Jaspersoft, whereas SAS Visual Analytics is most compared with Tableau, Microsoft Power BI, Databricks, Microsoft Azure Machine Learning Studio and Dataiku Data Science Studio.

    We monitor all Reporting 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.