IBM Watson Explorer vs. Tableau

IBM Watson Explorer is ranked 18th in Business Intelligence Tools with 9 reviews vs Tableau which is ranked 1st in Business Intelligence Tools with 54 reviews. The top reviewer of IBM Watson Explorer writes "Facilitates utilizing data streams that we haven't tapped into, and producing results that are tremendously useful, company-wide". The top reviewer of Tableau writes "The visualizations bring out patterns buried under a mountain of data. The tool offers unparalleled flexibility in terms of the types of visualisation that one can create". IBM Watson Explorer is most compared with IBM SPSS Modeler, KNIME and Tableau. Tableau is most compared with Oracle OBIEE, SAS Visual Analytics and Microsoft BI. See our IBM Watson Explorer vs. Tableau report.
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IBM Watson Explorer Logo
613 views|298 comparisons
Tableau Logo
146,517 views|69,094 comparisons
Most Helpful Review
Find out what your peers are saying about IBM Watson Explorer vs. Tableau and other solutions.
310,271 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
The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data.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.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.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.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.

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​Data is easily understood at all levels of the company.Business insights are shared across various departments.Its ease of use and ability to convert drag and drop gestures into queries.The ability to create complex calculations.​Its ease of use and ability to convert drag and drop gestures into queries.Tableau's support could improve.Partner support is very good.It allows us to basically understand and evaluate our numbers in an expedient manner.

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Cons
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 dictionaryIt needs better language support, to include some other languages. Also, they should improve the user interface.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.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.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 themselvesSmall 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.

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​Conditional formatting could be an interesting feature to provide to final users.The data preparation/blending options are very basic. They could be improved.Tableau is a company that does not respect partners.I would like to be able to set the parameters in a more specific manner.Small multiples (a.k.a. Trellis charts) are possible only through very hacky means. Update: Still remains a challenge.Improvements in schema security and row/column security need to be made.We would like a report model, because currently there is no schema that we can create in the tool.I would like them to include the Italian language, as I can see there are other foreign language in the product.

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Pricing and Cost Advice
Information Not Available
Tableau's licensing is pretty straightforward and simple.ROI is very high, but it requires a data preparation/blending tool.We always consider pricing when considering a new solution. We are a non-profit and price is a huge concern.Tableau is an expensive solution, though it comes with its advantages.The price could be higher for the quality of software, so they revised the pricing in this version, and I agree with the price for top version. The top version costs about $70 per month, and the price is cheap for the quality.I like the payment model. For the people who need to create, they buy their licenses. Everyone else can use the free Tableau Viewer. This is much better than some of the competitor products, which require full licences for everything.The cost is high.Deployment of dashboards to viewers and unit supervisors can be prohibitively expensive.

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report
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310,271 professionals have used our research since 2012.
Ranking
18th
Views
613
Comparisons
298
Reviews
9
Followers
76
Avg. Rating
8.1
Views
146,517
Comparisons
69,094
Reviews
53
Followers
2,268
Avg. Rating
8.3
Top Comparisons
Compared 22% of the time.
Compared 12% of the time.
Compared 8% of the time.
Compared 7% of the time.
Compared 7% of the time.
Also Known As
IBM WEXTableau Desktop, Tableau Server, Tableau Online
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IBM
Tableau
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.

Tableau is an enterprise analytics platform that enables your organization to explore trusted data in a secure and scalable environment. It gives people access to intuitive visual analytics, interactive dashboards, and limitless ad-hoc analyses that reveal hidden opportunities and eureka moments alike. Get the security, governance, and management you require to confidently integrate Tableau into your business—on-premises or in the cloud—and deliver the power of true self-service analytics at scale.

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Sample Customers
RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, HondaAccenture, Adobe, Amazon.com, Bank of America, Charles Schwab Corp, Citigroup, Coca-Cola Company, Cornell University, Dell, Deloitte, Duke University, eBay, Exxon Mobil, Fannie Mae, Ferrari, French Red Cross, Goldman Sachs, Google, Government of Canada, HP, Intel, Johns Hopkins Hospital, Macy's, Merck, The New York Times, PayPal, Pfizer, US Army, US Air Force, Skype, and Walmart.
Top Industries
No Data Available
REVIEWERS
Financial Services Firm16%
Healthcare Company9%
University9%
Manufacturing Company8%
VISITORS READING REVIEWS
Financial Services Firm19%
Healthcare Company8%
Manufacturing Company6%
Comms Service Provider6%
Company Size
REVIEWERS
Small Business20%
Midsize Enterprise20%
Large Enterprise60%
REVIEWERS
Small Business24%
Midsize Enterprise20%
Large Enterprise56%
VISITORS READING REVIEWS
Small Business17%
Midsize Enterprise24%
Large Enterprise59%
Find out what your peers are saying about IBM Watson Explorer vs. Tableau and other solutions.
310,271 professionals have used our research since 2012.
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