Compare IBM Watson Explorer vs. Qlik Sense

IBM Watson Explorer is ranked 14th in Business Intelligence (BI) Tools with 9 reviews while Qlik Sense is ranked 4th in Business Intelligence (BI) Tools with 33 reviews. IBM Watson Explorer is rated 8.2, while Qlik Sense is rated 9.0. 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". On the other hand, the top reviewer of Qlik Sense writes "Easy to use for sales and margin reporting in a retail setting". IBM Watson Explorer is most compared with SAS Analytics, IBM Cognos and IBM SPSS Modeler, whereas Qlik Sense is most compared with Tableau, Microsoft BI and ELK Kibana. See our IBM Watson Explorer vs. Qlik Sense report.
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IBM Watson Explorer Logo
1,424 views|700 comparisons
Qlik Sense Logo
18,377 views|14,815 comparisons
Most Helpful Review
Find out what your peers are saying about IBM Watson Explorer vs. Qlik Sense and other solutions. Updated: November 2019.
384,324 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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The most valuable feature is the drag-and-drop reporting.Allowing the users to be able to take snapshots and create their own story without ever leaving the application is a very good feature.The integration with R & Python for predictive modeling, and possibly machine learning in the future, is very valuable.The most valuable feature of QlikSense is that you can capture the data without modifying it and then perform the ETL (extract, transform, and load) process.We have found the use of AI to be the most valuable feature.This tool not only allows for consumption of the data in a visual way, but also allows the user to modify the question to get new answers.The most valuable features are the mobility and web integration.The UI is very easy to use, with drag and drop self-service analytics.

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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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Report generation without the need for NPrinting, which has limited capabilities anyway, would be an improvement.Some of the charts are still a bit basic and screen rendering on different sized monitors can be an issue.As we are a very process-oriented company, we would like to see more extensions maintained from Qlik, because it's a huge budget problem to choose the right one.Currently, we are not very happy with the iPad or iPhone app because it is not working as we want.There is room for improvement in the learning curve when getting started, but training resources have been growing.The product could be improved by implementing a user-feedback ranking system.I would like to have support for table formats without having to use an extension.Advanced graphs or visualizations must be in the built-in product, instead of building with open API extensions or mashups.

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Pricing and Cost Advice
Information Not Available
Qlik Sense and its pricing model can follow any scalability.QlikSense offers a Hybrid environment architecture, which is very cost effective based on where the enterprise data resides.Licensing can start to get expensive, but compared to other tools in this space it is about average.Licensing is quite good, easy, but slightly expensive.Costs are a little high on the license/token side. However, if you look at the TCO, it is not too bad, particularly against Power BI.Know your needs when going into the purchasing decision.The costs can initially become quite high. Make sure you have a clear understanding of who will truly use the product as opposed to someone that will simply receive the end report.The new licensing model is much better.

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report
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384,324 professionals have used our research since 2012.
Ranking
Views
1,424
Comparisons
700
Reviews
9
Average Words per Review
477
Avg. Rating
8.1
Views
18,377
Comparisons
14,815
Reviews
32
Average Words per Review
264
Avg. Rating
9.0
Top Comparisons
Compared 26% of the time.
Compared 14% of the time.
Compared 26% of the time.
Compared 13% of the time.
Compared 8% of the time.
Also Known As
IBM WEXQlikSense
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IBM
Qlik
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.

Qlik helps enterprises around the world move faster, work smarter, and lead the way forward with an end-to-end solution for getting value out of data. Our platform is the only one on the market that allows for open-ended, curiosity-driven exploration, giving everyone – at any skill level – the ability to make real discoveries that lead to real outcomes and transformative changes.

Offer
Learn more about IBM Watson Explorer
Learn more about Qlik Sense
Sample Customers
RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, HondaAbbvie, Airbus, Barclays, BT Openreach, BMW, Daimler AG, HSBC, IKEA, Nationwide Building Society, Royal Mail Group, Sanofi, Siemens, Wendy's, Vodafone, Volvo
Top Industries
No Data Available
REVIEWERS
Financial Services Firm25%
Healthcare Company14%
Manufacturing Company7%
Retailer7%
VISITORS READING REVIEWS
Software R&D Company33%
Financial Services Firm8%
Comms Service Provider7%
Manufacturing Company7%
Find out what your peers are saying about IBM Watson Explorer vs. Qlik Sense and other solutions. Updated: November 2019.
384,324 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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