IBM Watson Explorer vs Microsoft Power BI vs SAS Visual Analytics comparison

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IBM Logo
102 views|73 comparisons
100% willing to recommend
Microsoft Logo
33,848 views|28,652 comparisons
92% willing to recommend
SAS Logo
3,032 views|2,432 comparisons
96% willing to recommend
Comparison Buyer's Guide
Executive Summary

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

Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining.
To learn more, read our detailed Data Mining Report (Updated: April 2024).
769,334 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
"The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data.""I have found the auto-generated document very useful as well as the main keywords that are highlighted, which are used for the search functionality within IBM Watson Explorer.""Ease of use is pretty good as is the standardization of not actually having to have my own natural learning algorithms, just to use the Watson APIs.""The ability to easily pull together lots of different pieces of information and drill down in a smarter way than has been possible with other analytics tools is key. Watson is all based on a set of AI and deep learning, machine-learning capabilities, and it is looking behind the scenes at some relationships that you likely would not have spotted on your own. It's pulling things together, categorizing some things, that are not something that you might have seen on your own.""For me, as a user, the most valuable feature is the ability to ingest and then retrieve information from a range of separate sources; the ability to dissect questions in context and actually answer them.""We take natural language that was happening in our repositories and our application and then feed it to the Watson APIs. We receive JSON payloads as an API response to get cognitive feedback from the repository data."

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"I've seen no issues with BI's stability.""Technical support is quite good.""It gives you an edge if you are on the Microsoft platform. If you have been using Microsoft products for a long time or if you have the Microsoft infrastructure, this is the right tool for you. It has seamless integration with Microsoft SQL Server and other sources, and you get the best of the three things (SSIS, SSAS, and SSRS) in one suite.""The initial setup is easy.""This product has a lot of features and most of them are user-friendly.""The Microsoft Power BI app is very good. It's also very flexible.""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.""The solution overall is very useful. The reports that are generated and the reporting functionality management are beneficial."

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"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.""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.""We've found the product to be stable and reliable.""It integrates well with SAS, making it simple and quick for developers.""It's relatively simple to create basic dashboards and reports.""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.""The technical support services are good.""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
"I would say, give some kind of a community edition, a free edition. A lot of companies do, even Amazon gives you some kind of trial and error opportunities. If they could provide something like that, it would be good.""Stability is actually one of the areas that could use improvement. Setting it up is always tough. Setting Explorer requires experts, but also the underlying platform is not that stable. So it really needs a good expert to keep it running.""It is a little bit tricky to get used to the workflow of knowing how to train Watson, what can be provided, what can't be, how to provide it, how to import, export, and what it means every time you have to add a new dictionary""The solution is expensive.""Much of IBM operates this way, where they have sets of tools that are in the middleware space, and it becomes the customer's responsibility or the business partner's responsibility to develop full solutions that take advantage of that middleware. I think IBM's finding itself in that spot with Watson-related technologies as well, where the capabilities to do really interesting and useful things for customers is there, but somebody still has to build it. Is that going to be the customer? Are they going to be willing to take on that responsibility themselves""More cognitive feedback would be good. The natural language analysis is great, the sentiment analyzers are great. But I would just like to see more... innovation done with the Watson platform.""Small businesses will probably have a little harder time getting into it, just because of the amount of resources that they have available, both financial and time, but it really is a solution that should work for them.""It needs better language support, to include some other languages. Also, they should improve the user interface."

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"There are some other visuals that are available in the Microsoft marketplace, however, you need to use them via trial and error. There needs to be a write-up about how to use them with a quick guide describing the visual.""Areas of Power BI that could be improved are the learning curve for developers who come from non-technical backgrounds.""I would like it to be a little bit more secure when I'm using the design feature on my desktop. For example, to have the ability to set up security passwords for opening the file. Currently, they don't have that. Tableau, for example, has a visual way of doing data processing steps, whereas the Power BI system still has some code, although it is very low code. It would be great to have the kind of view that Tableau has.""Drill-down in dashboards needs to improved. The capability only works in Power BI Desktop today. We need to have an alternative approach today.""SSMS & SSRS.""The accounting data needs improvement.""Better mapping capabilities and easier administration access would be beneficial, especially for understanding who has viewed reports.""I would like to see Machine Learning for Power Bi Pro users or an intermediate license to enable Machine Learning if you don't have access to a Premium account."

More Microsoft Power BI Cons →

"The installation process can be a bit complex.""A bit more flexibility in the temperatization will be helpful.""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 solution should improve its graphics.""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 reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive.""There is a need for coding when it comes to digital reporting which can be intimidating."

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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 →

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    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.
    Ranking
    9th
    out of 18 in Data Mining
    Views
    102
    Comparisons
    73
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Views
    33,848
    Comparisons
    28,652
    Reviews
    27
    Average Words per Review
    619
    Rating
    7.9
    8th
    out of 71 in Data Visualization
    Views
    3,032
    Comparisons
    2,432
    Reviews
    8
    Average Words per Review
    393
    Rating
    8.5
    Comparisons
    Also Known As
    IBM WEX
    SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
    SAS BI
    Learn More
    Overview

    IBM Watson Explorer is a cognitive exploration and content analysis platform that lets you listen to your data for advice. Explore and analyze structured, unstructured, internal, external and public content to uncover trends and patterns that improve decision-making, customer service and ROI. Leverage built-in cognitive capabilities powered by machine learning models, natural language processing and next-generation APIs to unlock hidden value in all your data. Gain a secure 360-degree view of customers, in context, to deliver better experiences for your clients.

    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.”

    Sample Customers
    RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
    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.
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company19%
    Government9%
    Outsourcing Company8%
    Financial Services Firm8%
    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%
    Company Size
    REVIEWERS
    Small Business18%
    Midsize Enterprise18%
    Large Enterprise64%
    VISITORS READING REVIEWS
    Small Business24%
    Midsize Enterprise11%
    Large Enterprise65%
    REVIEWERS
    Small Business39%
    Midsize Enterprise16%
    Large Enterprise45%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise41%
    Large Enterprise45%
    REVIEWERS
    Small Business31%
    Midsize Enterprise19%
    Large Enterprise50%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    Buyer's Guide
    Data Mining
    April 2024
    Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining. Updated: April 2024.
    769,334 professionals have used our research since 2012.