Microsoft Power BI vs SAS Visual Analytics vs XLCubed comparison

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Microsoft Logo
33,848 views|28,652 comparisons
92% willing to recommend
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3,032 views|2,432 comparisons
96% willing to recommend
Fluence Technologies Logo
427 views|284 comparisons
50% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Microsoft Power BI, SAS Visual Analytics, and XLCubed based on real PeerSpot user reviews.

Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools.
To learn more, read our detailed BI (Business Intelligence) Tools Report (Updated: April 2024).
769,789 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
"What I like most is that I can do everything in Power BI that I can do in Excel.""The DAX coding language is good for creating formulae.""It is quite easy to use and it helps me to achieve the projects that I've been assigned.""We like the drag and drop interactability visualization. We really like that. It's user-friendly.""I like the fact that Power BI lets me use Excel data. At least 90% of my state data is in Excel spreadsheets. Having the ability to just attach a spreadsheet as a data source is very, very important. It's also good for training and teaching. Sometimes you don't always have access to a live production database, so having a spreadsheet with sample data is always nice.""I have found the quick reporting and the conductivity with all the data sources valuable.""The capability to add custom visuals and create Power BI apps. You can package datasets, synchronization details, and dashboards into a single app.""Provides good data flow related to the container and control flow."

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"We've found the product to be stable and reliable.""The flexibility of the configuration is valuable to me.""I use Visual Analytics for enterprise reporting.""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 provided the capability to visualize a bunch of data in an organized way.""Simplifies report designs and quickly displays tables and graphs.""Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools.""The product is stable, reliable, and scalable."

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"Great capability, performance, flexibility, visuals, and the solution is also very cost effective.""I am looking forward to testing their full graphics that are available, as they looked very interesting in the demo."

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Cons
"For someone who is new, I think that Power BI can be a little complicated.""I would like to be able to use more predicting data science features without having to use R.""Microsoft BI can improve some of the visual level filters or visual functionality, that are available in other BI tools, such as Tableau or Qlik Sense.""Microsoft BI's visualization could be better. Though Power BI's visualization has steadily improved over the years, it's not on the level tools like Tableau and SAS or some of the more expensive products on the market.""Its desktop tool is a little bit memory CPU intensive, and it can be improved, but the machines nowadays come with a lot of memory. For the desktop users who are using it on the desktop, we recommend that they do an upgrade. It is a minor issue. We can fix it on the desktop.""The solution doesn't integrate well with third-party tools.""It is too slow. I hope in future it will be a comparable big data tool, such as, for example, Data Lake.""I'm not overly technical, and so I can't really speak to any shortcomings from a technical standpoint."

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"I haven't come across any missing features.""There is a need for coding when it comes to digital reporting which can be intimidating.""In Brazil, there are few documents, courses, and other resources for studying and implementing the tool.""The solution is a little weak at the front end.""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.""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.""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."

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"There should be a better or an easier way to establish that connection to external sources.""Would like the ability to be able to benchmark."

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Pricing and Cost Advice
  • "There is room for at least 45% discount as compared to the initial price."
  • "MS BI comes with all the tools and it is, to the best of my knowledge, the most affordable solution."
  • "All in all, for the price, this is an excellent tool for helping your organization turn mounds of data into useful insights."
  • "I would advise that Microsoft BI products are rightly priced and the licensing is easy to follow and to fulfill."
  • "Remove the cost of a licence to show a dashboard within SharePoint. Why should readers of a dashboard have to pay to view? ​"
  • "Make it low in cost. It is a no-brainer!"
  • "Globally, we evaluated a number of products, including Salesforce's product, Microsoft won on the ground of simple functionally and cost."
  • "Paid for itself in the first month."
  • More Microsoft Power BI 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 →

  • "14,000 Pounds per year for licensing."
  • "I am still using the two-week trial, but at first sight, the price is reasonable."
  • More XLCubed 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… more »
    Top Answer:Power BI is an advanced visualization tool oriented to big data with a very complete set of widgets to visualize… more »
    Top Answer:Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are… more »
    Top Answer:The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced… more »
    Top Answer:The product is expensive and needs the integration of more languages.
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    7.9
    8th
    out of 71 in Data Visualization
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    Also Known As
    SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
    SAS BI
    Learn More
    Overview

    Microsoft Power BI is a powerful tool for data analysis and visualization. This tool stands out for its ability to merge and analyze data from various sources. Widely adopted across different industries and departments, Power BI is instrumental in creating visually appealing dashboards and generating insightful business intelligence reports. Its intuitive interface, robust visualization capabilities, and seamless integration with other Microsoft applications empower users to easily create interactive reports and gain valuable insights.

    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.”

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    Meet XLCubed: The data-connected Excel add-in for all your reporting needs.

    Sample Customers
    Accenture Adidas Aetna AIG Airbus Alibaba Allstate Amazon American Express Aon AT&T Audi Bank of America BASF Bayer Berkshire Hathaway Boeing Coca-Cola Comcast Cisco Coca-Cola Dell Disney Emirates Equinix FedEx Ford GE Google H&M Home Depot Honda IBM Intel JPMorgan Chase Kellogg's Kroger L'Oréal McDonald's Merck MetLife Microsoft Nike Oracle P&G PepsiCo Procter & Gamble Prudential Financial SAP Siemens Snapchat Spotify Starbucks Target Toyota T-Mobile Unilever Visa Walmart WeWork World Bank Xerox
    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.
    Marshalls Ltd, BP Exploration and Production, Thorntons, Ted Baker, Bristol-Myers, Rank Group, ING Bank Genve, Cargill Value Investment, Chloride Power, Auchan, Erste, UEFA, Novartis, Porsche Informatik, Raiffeisen Bank International
    Top Industries
    REVIEWERS
    Financial Services Firm15%
    Manufacturing Company13%
    Computer Software Company11%
    Government9%
    VISITORS READING REVIEWS
    Educational Organization35%
    Financial Services Firm8%
    Computer Software Company8%
    Government5%
    REVIEWERS
    Government25%
    Insurance Company15%
    Financial Services Firm15%
    Transportation Company5%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Government13%
    Computer Software Company12%
    University7%
    VISITORS READING REVIEWS
    Financial Services Firm19%
    Computer Software Company13%
    Comms Service Provider7%
    Energy/Utilities Company6%
    Company Size
    REVIEWERS
    Small Business39%
    Midsize Enterprise16%
    Large Enterprise45%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise42%
    Large Enterprise45%
    REVIEWERS
    Small Business31%
    Midsize Enterprise19%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    VISITORS READING REVIEWS
    Small Business22%
    Midsize Enterprise14%
    Large Enterprise64%
    Buyer's Guide
    BI (Business Intelligence) Tools
    April 2024
    Find out what your peers are saying about Microsoft, Tableau, Oracle and others in BI (Business Intelligence) Tools. Updated: April 2024.
    769,789 professionals have used our research since 2012.