We performed a comparison between IBM Watson Explorer, Oracle OBIEE, and SAS Visual Analytics based on real PeerSpot user reviews.
Find out what your peers are saying about Knime, Weka, IBM and others in Data Mining."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."
"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."
"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."
"Oracle OBIEE is a scary and stable product since it is a strong and well-created tool... In short, the solution is stable since it works properly every day."
"We can see almost-real-time performance in our operations. When there is a problem, it is easy to escalate it to top management and the time for management to make a decision about it is much shorter than it would be using a manual process."
"The most valuable feature of Oracle OBIEE is the security of the solution."
"I have not personally used any such products related to this service, however based on the popular opinion, Microsoft Power BI is more popular. We have never switched from this software due to infrastructure and license related costs. However, my team acknowledges that the Power BI is much more enhanced and includes features that are easier to use, including its drag and drop features. I am not sure, if OBIEE has these features, due to lack of updated versions."
"I think having the conformed structures makes it a lot easier for end users and pulling reports together."
"The main features of this solution are that it is easy to use, intuitive, and user-friendly. When I retrieve the data from the database it is in a very raw form, then when I use the Oracle Report Builder it has advanced intelligence features to allow me to view and make changes to the data easily."
"Inter Process Communication."
"It mostly supports enterprise level data. We have millions of records on a daily basis."
"The speed to display charts and react to users' choices is great."
"It's relatively simple to create basic dashboards and reports."
"Visual Analytics is very easy to use. I use Visual Analytics for all the typical use cases except text mining. I used it to analyze data and monitor statistics, not text mining. I also use it for data visualization as well as creating interactive dashboards and infographics."
"It integrates well with SAS, making it simple and quick for developers."
"The alert generation feature also helps in sending out ad hoc messages to the business users if business thresholds have been crossed."
"Great for handling complex data models."
"It's a stable, reliable product."
"Quick deployment to dashboards and analytics features (using SAS Visual Statistics and Enterprise Guide). Easy to create a simple forecast and discover business insights using segmentation tools."
"It needs better language support, to include some other languages. Also, they should improve the user interface."
"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"
"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."
"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"
"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."
"The solution is expensive."
"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."
"Retail, Finance, Wholesale"
"Oracle products have a lot of complications...Oracle has a history of not really providing great support."
"While it is a user-friendly, data-driven tool, the data modeling should be easier to use."
"One of the things that have been difficult with OBIEE during all the time that I've known it is that when something goes wrong, many times, the error messages are not specific, and you've got to spend a lot of time digging and digging and digging before you say, "Oh, okay. I figured out what it was." There should be more detailed error messages or troubleshooting messages."
"The performance and the complex setup are the main reason for switching to Qlik Sense."
"If the data is large, the dashboard takes a really long time. So, based on the database, if you have around a million cost contacts, the load time is very low, and the dashboard fails."
"In our organization, we feel that data visualization for APIs is an area in which the solution lacks."
"The ability to migrate from one version to another, such as doing so from version 11 to an upgraded 12 of Oracle business environment, can be difficult."
"Better connectivity with other data origins, better visualization, and the ability to create KPIs directly would all help."
"The solution is a little weak at the front end."
"The reason we haven't rolled it out across the board is due to the fact that the licensing is so expensive."
"The solution should improve its graphics."
"It is not as mature as competitors such as Tableau and QlikView."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"The deployment isn't smooth. Deploying Visual Analytics on the cloud takes a lot of work, or you can use some providers that give you SAS as a service. For example, there is a provider called SaasNow. They host SAS Visual Analytics and the license. You can buy the license and deploy it there without the hassle of installation because deploying the software isn't easy."
"Colours used on report objects"
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