We performed a comparison between IBM Watson Explorer, Tableau, and Yellowfin based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."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."
"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."
"The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."
"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."
"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."
"A valuable feature of Tableau is that it is a useful tool for small setups. I shuffle between Tableau and MicroStrategy, so I use Tableau for personal purposes more than enterprise. I like the light version of Tableau for personal usage and doing some use cases on my own. When it comes to something small, I use Tableau for setups, rather than any other tool."
"This solution has improved insights into quantitative data."
"Its performance is pretty good, and the development time is very low."
"It provides business users with a tool, so they are not dependent on IT."
"The solution makes for very productive and really informative decision making. It can lead the whole business and build a strategy across whole working departments."
"Any feature I am looking for usually is part of the next upgrade within a few months. They have a very good dynamic evolution."
"Scheduled extract and the multiple connectors are fantastic!"
"It is easy to use, and it can handle a large amount of data."
"It reduces time to reproduce reports, provides easy access to organisational data, and has the ability to generate a wide range of reports and analysis."
"It is able to create information dashboards for various users' throughout."
"It is a central source of up-to-date data and information."
"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"
"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"
"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."
"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."
"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."
"The solution is expensive."
"It needs better language support, to include some other languages. Also, they should improve the user interface."
"The data entered into Tableau must be clean. Otherwise, it won't work properly."
"It needs more ETL capabilities, to be able to address the end-to-end BI need."
"Could have more integrations with different platforms."
"We would like a report model, because currently there is no schema that we can create in the tool."
"The SQL programming functionality needs to be improved."
"It will be good if the server, could be more stable, and I would like to have the technical service to be more reliable."
"The performance could be better."
"More integration with Python or something related to machine learning would be a good improvement."
"It needs more presentation/charting capabilities and integration with GIS."
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