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IBM Watson Explorer vs Microsoft Power BI vs SAS Visual Analytics comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Mindshare comparison

Data Mining Market Share Distribution
ProductMarket Share (%)
IBM Watson Explorer1.9%
IBM SPSS Modeler20.6%
IBM SPSS Statistics20.0%
Other57.5%
Data Mining
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
Microsoft Power BI14.1%
Tableau Enterprise10.3%
Amazon QuickSight4.9%
Other70.7%
BI (Business Intelligence) Tools
Data Visualization Market Share Distribution
ProductMarket Share (%)
SAS Visual Analytics3.4%
Tableau Enterprise19.2%
Apache Superset9.2%
Other68.2%
Data Visualization
 

Featured Reviews

it_user1319820 - PeerSpot reviewer
A data analysis tool that is scalable and includes keyword search functionality
The solution is used for a government company for data collection and analysis 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. I have been using the solution for five…
Shoury Priyanshu - PeerSpot reviewer
Facilitates seamless data aggregation with some outdated visual elements hindering user appeal
Real-time data integration is an area for improvement. Although I've worked on several solutions involving real-time integration, it's not very user-friendly and often lags, especially with over a million data rows. This makes Power BI difficult to manage as loading times can reach one or two minutes, which is problematic today. There are challenges with scalability, requiring multiple pages in dashboards to manage these issues. Visualization could be improved as it appears outdated. Users, especially newcomers, find it unappealing and not user-friendly.
Renato Vazamin - PeerSpot reviewer
Single environment for multiple phases saves us time, and has good visualizations
We had that solution installed previously in another solution, Selvaya, but I don't think we used it at the time. We are now using SAS Detect Investigation as a complementary solution, in which we have part of the process, use a gene, SAS collects information and identifies some business situations, and the business guys use Visual Analytics to explore the results of the process. We previously used the FICO platform, but we switched because FICO's pricing was not scalable. Bringing more data or workloads to the platform required a significant investment in order to scale. We needed to change because we have a lot of data to process every day. FICO was also a little more complicated than SAS Visual Analytics.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"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 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."
"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."
"The valuable feature of Watson Explorer for us is data entities, and to see the hidden insights from within unstructured data."
"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."
"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 like how the Query Editor lets me manipulate the data, and the available visuals are good. You can do everything using the UI."
"It is good for us for onboarding the data. We can connect to multiple data sources, do transformations to make the data usable, and then model it within the transformation. Someone who has come from a Microsoft Excel environment will easily be able to use this solution. Power query and report modeling are easy to understand in this solution. Their technical support is very good. They are extremely responsive, helpful, and hands-on."
"We have found that the reporting and publishing are great."
"It is easy to use. It has got a desktop where people can develop their own dashboards. Basically, we have figured out how to connect finance contracts and all programs for the government agency. So, they can see everything in a dashboard. So, it is very easy to use from a technical standpoint of view."
"What Power BI is, is a whole collection of templates of small amounts of data that can be used to do something for a real world project, that can be easily set up and become the business intelligence environment or a data warehouse for a large amount of data, for a real world customer. That's what is remarkable."
"Real-time refresh is quite interesting and user-friendly, provided you have access to a gateway. It works well."
"The querying capabilities are the most valuable because they allow me to build many automations. We have many workflows and many databases that we work on a daily basis. They need to be updated quite quickly. In order to not to take much of our time doing these updates manually, I have set up these automations using the systems. The process is just to ingest the data and reprocess it. Every time I click a button, everything is updated in almost real time. It is by far the easiest system not only for querying but also for data modeling, data visualization, and deployment. It is light years ahead of Tableau and even Microsoft Excel to do these kinds of things. It is very easy to use and set up, and it has a lot of videos on the internet."
"Microsoft BI is very easy to set up and use."
"The flexibility of the configuration is valuable to me."
"I like SAS Visual Analytics for its ability to provide an initial understanding of data through exploration, even before deep analytics."
"The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced technologies such as machine learning and artificial intelligence. This helps with quality assurance processes."
"I use Visual Analytics for enterprise reporting."
"We've found the product to be stable and reliable."
"I would rate the overall solution a ten out of ten."
"I believe that the possibilities for exploring data and formulating visual results are quite good because it allows the business analyst to have different perspectives on the data."
"The technical support services are good."
 

Cons

"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 needs better language support, to include some other languages. Also, they should improve the user interface."
"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."
"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."
"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."
"The solution is expensive."
"Microsoft needs to do some more research and development to make it more stable."
"Microsoft BI’s integration and visualization could be improved."
"We face multiple issues, and the connection drops off multiple times while integrating Microsoft Power BI with OAC and pulling in the data."
"My main complaint is that the error messages need to be made more clear. Currently, they are either too generic or outright misleading, and finding the real problem is like searching for a needle in a haystack."
"Microsoft has made a lot of progress with Power BI in the past couple of years, but there is still some room for improvement. For example, Integration is one area they could work on. They are adding more integration with other Microsoft tools, but I would like it if they sped up the process."
"I believe the price should be degressive, and we should have a lower, or better unit price if we have more users."
"The integration with third-party products could be more stable."
"One of the more difficult things to do is to export some of the data from Power BI to Excel."
"The installation process can be a bit complex."
"There is room for improvement in anti-money laundering prevention and operation monitoring, as well as operation monitoring surveillance."
"It is not as mature as competitors such as Tableau and QlikView."
"Colours used on report objects"
"The solution is a little weak at the front end."
"There are a few little things that are predefined and can be done out of the box immediately. There is no business intelligence application that is predefined, which is something some customers or prospects would love to have. Small and mid-sized companies would struggle with it because they prefer something standard that has been predefined by somebody else."
"The licensing ends up being more expensive than other options."
"The product is expensive and needs the integration of more languages."
 

Pricing and Cost Advice

"The solution is expensive."
"Power BI premium is really expensive for our market. A lot of small and medium companies would like to purchase it, but they can't afford it."
"They have a free Power BI Desktop version, but it has limitations."
"The costs are small and the benefits are high."
"Microsoft Power BI has reasonable pricing."
"The pricing is reasonable."
"Microsoft BI is not expensive."
"There is a license for this solution and we purchase them annually."
"We have premium licenses, but you can use it for free. You can share the content with anyone else, so you can use it for free."
"SAS Visual Analytics is expensive, as is the rest of the platform."
"$10,000 per annum for an enterprise license."
"The product is expensive."
"Licensing is simple."
"Visual Analytics is expensive for a small company like mine. You also need to deploy it on a server or cloud, so you pay for the license as well as the cost of the cloud or the server that you will deploy on."
"I work with the tool's free version...The tool's corporate version is very expensive and requires a monthly hire."
"The cost of the solution can be expensive. There is an additional cost for users."
"The product is quite expensive."
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Comparison Review

it_user79932 - PeerSpot reviewer
Feb 4, 2015
Comparison of SAP BO, Tableau, QlikView, Cognos, Microsoft, OBIEE and Pentaho
1. SAP BO/BI Enterprise scalability Security Ease of use Semantic layer 2. Tableau Visualization Data discovery Turnaround time 3. IBM Cognos Enterprise scalability Security In-memory feature 4. MS BI - Flexibility 5. Pentaho - Open source but still enterprise grade 6. QlikView Data…
 

Top Industries

By visitors reading reviews
Performing Arts
12%
Educational Organization
12%
University
11%
Recreational Facilities/Services Company
9%
Financial Services Firm
12%
Computer Software Company
9%
Government
9%
Manufacturing Company
8%
Financial Services Firm
19%
Government
10%
Computer Software Company
9%
University
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business2
Midsize Enterprise2
Large Enterprise7
By reviewers
Company SizeCount
Small Business134
Midsize Enterprise57
Large Enterprise165
By reviewers
Company SizeCount
Small Business13
Midsize Enterprise8
Large Enterprise19
 

Questions from the Community

Ask a question
Earn 20 points
Seeking lightweight open source BI software
There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I wou...
Is Power BI a complete platform or only a visualization tool?
Power BI is an advanced visualization tool oriented to big data with a very complete set of widgets to visualize info...
How does Oracle OBIEE compare with Microsoft BI?
Oracle OBIEE is great in allowing design and creativity per the individual needs of the organization. Dashboards are ...
What do you like most about SAS Visual Analytics?
The most solution's notable aspect, in my view, is the ability to integrate various data sources and harness advanced...
What is your experience regarding pricing and costs for SAS Visual Analytics?
It's about an average of five. It's easy to scale, but it comes with cost.
What needs improvement with SAS Visual Analytics?
In terms of configuration, I would like to see AI capabilities since many applications are now integrating AI. It may...
 

Also Known As

IBM WEX
SSRS, SSAS, MSBI, MS Reporting Services, Microsoft BI Tools, Microsoft Big Data, Power BI Pro, MS BI
SAS BI
 

Overview

 

Sample Customers

RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
Accenture Adidas Aetna AIG Airbus Alibaba Allstate Amazon American Express Aon AT&T Audi Bank of America BASF Bayer Berkshire Hathaway Boeing Coca-Cola Comcast Cisco Coca-Cola Dell Disney Emirates Equinix FedEx Ford GE Google H&M Home Depot Honda IBM Intel JPMorgan Chase Kellogg's Kroger L'Oréal McDonald's Merck MetLife Microsoft Nike Oracle P&G PepsiCo Procter & Gamble Prudential Financial SAP Siemens Snapchat Spotify Starbucks Target Toyota T-Mobile Unilever Visa Walmart WeWork World Bank Xerox
Staples, Ausgrid, Scotiabank, the Australian Institute of Health and Welfare, the Blue Cross and Blue Shield of North Carolina, Oklahoma Gas & Electric, Xcel Energy, and Triad Analytics Solutions.
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