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Microsoft BI vs SAS Visual Analytics comparison

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44,966 views|35,812 comparisons
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8,380 views|6,871 comparisons
Featured Review
Buyer's Guide
Microsoft BI vs. SAS Visual Analytics
January 2022
Find out what your peers are saying about Microsoft BI vs. SAS Visual Analytics and other solutions. Updated: January 2022.
620,600 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
"Our setup is very straight forward and can be done in a matter of hours.""The reports are easy to create.""Many of my customers already use Microsoft products like Office 365, so I often propose Microsoft Power BI because it integrates well with all the standard Microsoft business tools. And it's the quickest tool to implement and start using daily.""The tool is very flexible so it allows creativity.""Being able to transfer data with the Power Query feature is great for teaching with about one to two hundred rows of data. I am also able to see the relationship between multiple tables and create various sheets and dashboards.""Microsoft BI is scalable.""Management reporting solution that's very stable and scalable.""The visualization part and its inclusion in a cloud-based application are valuable features."

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"We've found the product to be stable and reliable.""It's quite easy to learn and to progress with SAS from an end-user perspective.""It provided the capability to visualize a bunch of data in an organized way.""Data handling is one of the best features of SAS Visual Analytics.""It integrates well with SAS, making it simple and quick for developers.""I use Visual Analytics for enterprise reporting.""It's relatively simple to create basic dashboards and reports.""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."

More SAS Visual Analytics Pros →

Cons
"I think that the product would benefit by increasing the range of visuals and graphics readily available, as opposed to using a third party included as part of the product.""Maybe they can enhance the UI a bit. Right now, it's very basic, I would say, compared to the MicroStrategy or Qlik.""Microsoft Power BI can be confusing, because it has two languages that you need to learn if you want to use it, and this makes it more difficult for nontechnical users.""Microsoft BI comes under pressure when there is a lot of data to be crunched. It gets slower and slower, and the functionality becomes a bit of a problem. The performance goes down with data being fed into the system. The infrastructure requirement also increases if you have to increase the performance. This is the area that can be improved in my opinion. Initially, the product is good, but over the years, when data gets accumulated, it becomes a problem unless the old data is kind of archived and is no longer shown on the visualization. It has a feature by using which a user can query for a report through simple questions to a bot. So, if I want to look for the customer share of revenue by geography, I just simply state that in the chatbot. If I wanted it in a pie chart, then you say, "Please show it to me in a pie chart." It comes out well for basic charts. This feature should be improvised more so that people can very quickly get customized reports on the go.""The one thing that I noticed specifically was the graphical features, and some of the analytical features. They were stronger on the Tableau side.""You do need to do some hard coding for certain things in Microsoft BI.""It should have more report outputs. They should expand the report outputs. Its documentation should also be better.""here are still better UI designs they can go through. I'm assuming they are focusing more on capabilities rather than look-and-feel designs."

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"The installation process can be a bit complex.""The solution is a little weak at the front end.""It is not as mature as competitors such as Tableau and QlikView.""The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive.""In Brazil, there are few documents, courses, and other resources for studying and implementing the tool.""There is a need for coding when it comes to digital reporting which can be intimidating.""The licensing ends up being more expensive than other options.""I haven't come across any missing features."

More SAS Visual Analytics Cons →

Pricing and Cost Advice
  • "It is somewhere in the middle in terms of price. Licensing is quite clear."
  • "Its cost seems to be unreasonable if you have many users, but for a lesser number of users, it is reasonable. It is $10 per month. Clients easily accept this option, so they must think it is reasonable. It is quite cheap as compared to other tools, such as Tableau. One of the best things about this solution is that it has a trial version."
  • "Once the trial period for the BI service is over, the cost is approximately $10 USD per user, per month, so it's quite reasonable."
  • "The pricing is very reasonable compared to any other tool."
  • "Microsoft BI is not very cheap. A premium license costs roughly 5,000 euros a month."
  • "This product offers good value for the money."
  • "Microsoft BI is free for the personal edition, but there is also a paid-for professional version."
  • "Setup is easy, and the cost is economical. You do sometimes need to pay additional costs for third party products which "plug-in" to Microsoft BI."
  • More Microsoft BI 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 many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows:  1) If you have legacies of SAP, Oracle  - look for SAP… more »
    Top Answer:Power BI is an advanced visualization tool oriented to big data with a very complete set of widgets to visualize information, control users accessing information, the configuration of governance… more »
    Top Answer:Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are fully customizable and very user-friendly. This solution is very stable. Oracle… more »
    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
    Views
    44,966
    Comparisons
    35,812
    Reviews
    182
    Average Words per Review
    538
    Rating
    8.1
    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
    SSRS, SSAS, MSBI, MS Reporting Services, Power BI, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
    SAS BI
    Learn More
    Overview

    Microsoft BI is a business intelligence solution that turns data into insightful and useful business information that is relevant to all levels of the business.

    Microsoft BI combines familiar Microsoft tools - Office, SharePoint, and SQL server, with extra features for end-users, such as Power View and Power Pivot. This powerful product gives businesses a competitive advantage by allowing end-users to better analyze their data, collaborate and better present their data.

    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 Microsoft BI
    Learn more about SAS Visual Analytics
    Sample Customers
    Konica Minolta, Klout, Mahindra Satyam, The Weather Channel, Argus, Credit Suisse, NCR, and Sysmex.
    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 Firm14%
    Manufacturing Company12%
    Computer Software Company12%
    Government10%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Comms Service Provider17%
    Financial Services Firm9%
    Government7%
    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 Business38%
    Midsize Enterprise17%
    Large Enterprise45%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise14%
    Large Enterprise68%
    REVIEWERS
    Small Business32%
    Midsize Enterprise23%
    Large Enterprise45%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise71%
    Buyer's Guide
    Microsoft BI vs. SAS Visual Analytics
    January 2022
    Find out what your peers are saying about Microsoft BI vs. SAS Visual Analytics and other solutions. Updated: January 2022.
    620,600 professionals have used our research since 2012.

    Microsoft BI is ranked 1st in BI (Business Intelligence) Tools with 187 reviews while SAS Visual Analytics is ranked 4th in Data Visualization with 13 reviews. Microsoft BI is rated 8.0, while SAS Visual Analytics is rated 8.4. The top reviewer of Microsoft BI writes "A complete ecosystem with an builtin ETL tool, good integrations with python and R, and support of DAX and Power Query (M languages)". On the other hand, the top reviewer of SAS Visual Analytics writes "Easy to learn and use with good scalability potential". Microsoft BI is most compared with Tableau, Amazon QuickSight, MicroStrategy, SAP BusinessObjects Business Intelligence Platform and TIBCO Spotfire, whereas SAS Visual Analytics is most compared with Tableau, Databricks, Qlik Sense, Dataiku Data Science Studio and Microsoft Azure Machine Learning Studio. See our Microsoft BI vs. SAS Visual Analytics report.

    We monitor all BI (Business Intelligence) Tools 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.