Compare Google Data Studio vs. IBM Watson Explorer

Google Data Studio is ranked 22nd in Business Intelligence (BI) Tools with 3 reviews while IBM Watson Explorer is ranked 14th in Business Intelligence (BI) Tools with 9 reviews. Google Data Studio is rated 8.0, while IBM Watson Explorer is rated 8.2. The top reviewer of Google Data Studio writes "Valuable features include advanced integrated analysis and easy implementation". On the other hand, 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". Google Data Studio is most compared with Microsoft BI, Tableau and Amazon QuickSight, whereas IBM Watson Explorer is most compared with SAS Analytics, IBM SPSS Modeler and IBM Cognos. See our Google Data Studio vs. IBM Watson Explorer report.
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Most Helpful Review
Find out what your peers are saying about Google Data Studio vs. IBM Watson Explorer and other solutions. Updated: November 2019.
382,196 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
This has improved our organization by allowing people to see their data and develop visualizations themselves.The ability to integrate with a great variety of data sources.The ability to design complex data models and equations.Valuable features include advanced integrated analysis and easy implementation.

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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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Cons
There is a significant degree of sophistication required to compete with Tableau or Cognos.Insisting on forums, blogs and community outreach in communications, and posting videos on an established calendar would be useful.Panels are not as easy to use as other data extraction UIs.It's not yet a replacement for a complete BI tool.

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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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Ranking
Views
11,471
Comparisons
10,156
Reviews
3
Average Words per Review
144
Avg. Rating
8.0
Views
1,424
Comparisons
700
Reviews
9
Average Words per Review
477
Avg. Rating
8.1
Top Comparisons
Compared 18% of the time.
Compared 15% of the time.
Compared 28% of the time.
Compared 15% of the time.
Also Known As
Data StudioIBM WEX
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IBM
Overview

Google Data Studio (beta) turns your data into informative dashboards and reports that are easy to read, easy to share, and fully customizable. Dashboarding allows you to tell great data stories to support better business decisions.

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.

Offer
Learn more about Google Data Studio
Learn more about IBM Watson Explorer
Sample Customers
Information Not Available
RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
Top Industries
VISITORS READING REVIEWS
Software R&D Company25%
Media Company16%
Manufacturing Company9%
Retailer9%
No Data Available
Find out what your peers are saying about Google Data Studio vs. IBM Watson Explorer and other solutions. Updated: November 2019.
382,196 professionals have used our research since 2012.
We monitor all Business Intelligence (BI) 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.
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