IBM Watson Explorer vs Tableau

IBM Watson Explorer is ranked 20th in Business Intelligence Tools with 9 reviews vs Tableau which is ranked 1st in Business Intelligence Tools with 121 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. I’d like to see a speedometer chart template". IBM Watson Explorer is most compared with IBM SPSS Modeler and KNIME. Tableau is most compared with Microsoft BI, SAS Visual Analytics and Oracle OBIEE. See our IBM Watson Explorer vs Tableau report.
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Quotes From Members Comparing IBM Watson Explorer vs Tableau

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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The most valuable feature is the 3D charting.This service is the combination of very pleasant, interactive graphical visualizations along with the application of advanced statistical models (in some cases).It is an excellent tool for data capture, processing, and visualization.The solution is being delivered to our customer, who appreciates the insights generated from the reports. It is easy for them to drill into the details and use interactive charts.We found Tableau has the quickest learning time out of the few other BI reporting tools that we have used.It's the ease of use. It is also a self-service tool so it decreases the burden on having centralized IT-type teams or developers.It provides business users with a tool, so they are not dependent on IT.Analysis is now more visual than in the past.

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Cons
It 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.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 dictionaryMuch 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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They need to improve the bar chart position and width.The use of this service in the desktop version is annoying due to the constant updates which lead to reinstalling the application. If they could give support with updates on the same downloaded version, it would be great.It needs a little bit more advanced modeling. I would like to see functionality like Cognos has in the Framework Manager.Bursting email is needed to deliver the reports to many people in their inboxes and this functionality is not provided by Tableau.It needs more ETL capabilities, to be able to address the end-to-end BI need.The ability to use it on MAC machines. As far as I know, this is not possible.​Conditional formatting could be an interesting feature to provide to final users.The data preparation/blending options are very basic. They could be improved.

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Pricing and Cost Advice
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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.Tableau's licensing is pretty straightforward and simple.ROI is very high, but it requires a data preparation/blending tool.I wish there was more of a subscription model with the pricing when it comes to Tableau, so you can get all the latest version upgrades/features if you pay monthly/annually.Tableau can be costly (but this can be indefinable, such as user experience vs. cheaper etc.)Buy 50 at a time. Project your use base every three months, and project your requirements forward.

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Find out what your peers are saying about IBM Watson Explorer vs Tableau and others in Business Intelligence Tools.
279,075 professionals have used our research since 2012.
Ranking
RANKING
Views
132
Comparisons
42
Reviews
9
Followers
48
Avg. Rating
8.1
Views
126,135
Comparisons
82,334
Reviews
114
Followers
3,537
Avg. Rating
8.5
Top Comparisons
Top Comparisons
Compared 33% of the time.
See more IBM Watson Explorer competitors »
Compared 10% of the time.
Compared 10% of the time.
Compared 8% of the time.
See more Tableau competitors »
Also Known As
Also Known AsIBM WEXTableau Desktop, Tableau Server, Tableau Online
Website/Video
Website/VideoIBM
Tableau
Overview
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
Sample CustomersRIMAC, 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
Top Industries
No Data Available
REVIEWERS
Financial Services Firm
15%
Healthcare Company
9%
University
9%
Manufacturing Company
8%
VISITORS READING REVIEWS
Financial Services Firm
18%
Healthcare Company
8%
Manufacturing Company
6%
Comms Service Provider
6%
Company Size
Company Size
REVIEWERS
Small Business
20%
Midsize Enterprise
20%
Large Enterprise
60%
REVIEWERS
Small Business
24%
Midsize Enterprise
21%
Large Enterprise
55%
VISITORS READING REVIEWS
Small Business
17%
Midsize Enterprise
24%
Large Enterprise
59%
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