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.
It's user-friendly and provides data abstracting capabilities. We are also able to share reports with our colleagues very easily.
There is a lot of help and documentation on the Internet, so no special training is needed to use the source code.
Its data visualization provides the user the ability to quickly look at data and focus on relevant information, allowing them to make an immediate decision.
Other people can access data much more easily than before. Its usability is the main advantage, people in the company are using it.
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.
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
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
It is definitely a wonderful analytics tool. However, database ETL, data integration functionality would be absolutely perfect in many cases. Currently, it doesn't get the job done and we need to extract, transform, and load the data from faulty data sets into something more suitable for the deployment of the analytics tool.
I am a SAP user and I would like this tool to have more connectors - and to more easily connect to - the ERP or SAP environment.
I would prefer that the solution not be shared. I'm concerned that if we make a mistake we could reveal information to people who shouldn't see it. I would like to have my own on-prem server, to buy my own server and have my own infrastructure for Microsoft BI, with only with my data.
Pricing and Cost Advice
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The Report Server is pretty expensive on-premise. But as long companies are happy to use the cloud version, that's very cost effective.
Remove the cost of a licence to show a dashboard within SharePoint. Why should readers of a dashboard have to pay to view?
Compared 66% of the time.
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Compared 34% of the time.
Compared 18% of the time.
Compared 12% of the time.
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Compared 9% of the time.
Also Known As
|Also Known As||IBM WEX||SSRS, SSAS, MSBI, MS BI, MS Reporting Services, Power BI, Microsoft BI Tools, Microsoft Big Data|
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.
Microsoft BI is a business intelligence solution that turns data into insightful and useful business information that is relevant to all levels of the business.
Microsoft BI combines familiar Microsoft tools - Office, SharePoint, and SQL server, with extra features for end-users, such as Power View and Power Pivot. This powerful product gives businesses a competitive advantage by allowing end-users to better analyze their data, collaborate and better present their data.
Learn more about IBM Watson Explorer
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|Sample Customers||RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda||Konica Minolta, Klout, Mahindra Satyam, The Weather Channel, Argus, Credit Suisse, NCR, and Sysmex.|
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