Most Helpful Review
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.
I have found the dashboard creating feature helpful.
It has allowed me to move my data to the cloud.
Allows users to build their own solutions without as much reliance on technology staff.
Ability to work with very large data sources without the limitations of Excel.
The dashboard design interface is very intuitive and allows you to quickly and easily produce professional, innovative dashboards.
No issues with stability. It is a very stable solution.
A very simple setup: Easy to download, install, and updates are pain free.
Support is very responsive and clearly one of the strengths of Sisense. I have always received a fast response and the staff is very helpful.
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
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.
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
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.
They should improve the filters to create downloaded data by moving them to the top of the dashboard.
I would like to see more development and growth for the support of Knowledge Base and Community forums.
I would love to have more customization capabilities for building dashboards, especially in creating custom widget sizes.
I would also like to be able to run a bursts of reports based on different field values with PDF output right in the tool, rather than filtering on each field value and generating each PDF manually.
The initial version we purchased only ran on Windows servers, which was less than ideal for our DevOps team. I believe that has been remedied in the latest release.
The administrative side of Sisense is a little cumbersome and confusing.
Larger datasets will sometimes give a "Accumulated logs" error when trying to make minor changes. T
Compared 60% of the time.
Compared 28% of the time.
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Compared 12% of the time.
Compared 23% of the time.
Compared 17% of the time.
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Compared 6% of the time.
Also Known As
|Also Known As||IBM WEX|
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.
Sisense is an end-to-end business analytics software that enables users to easily prepare and analyze large, complex datasets. Sisense’s Single-Stack BI software includes data preparation, data management, analysis, visualization and reporting capabilities.
Learn more about IBM Watson Explorer
Learn more about Sisense
|Sample Customers||RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda||Ebay, WIX, Wave Accounting, ESPN.com, Magellan Luxury Hotel, Paylogic, Sony, Merck, EDA, One Hour Translation, NASA, Plastic Jungle, Philips, Yahoo|
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