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Top Review
Use IBM Watson Explorer? Share your opinion.
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: October 2021.
542,823 professionals have used our research since 2012.
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."

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"The most valuable feature is the ability to handle large data sets.""The technical support is okay.""It's very easy to use once you learn it."

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Cons
"The solution is expensive."

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"This solution should be made more user-friendly.""One of the things that can be simplified is self-service analytics, especially for a citizen developer or a citizen data scientist.""The installation could also be easier, and the price could be better."

More SAS Analytics Cons »

Pricing and Cost Advice
"I think that the cost-benefit ratio is okay.""SAS is very expensive."

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542,823 professionals have used our research since 2012.
Questions from the Community
Top Answer: The solution is used for a government company for data collection and analysis.
Top Answer: 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.
Top Answer: It's very easy to use once you learn it.
Top Answer: They should provide technical support quickly and for free. I would also like them to offer the integration of various Base SAS modules into one like SAS Studio to make it more cost effective for… more »
Top Answer: We use SAS Analytics for all data analysis, quick exploratory data analysis, statistical analysis, predictive modeling, and rapid data management in risk analytics. Predominantly, we're using risk… more »
Ranking
8th
out of 16 in Data Mining
Views
1,244
Comparisons
835
Reviews
1
Average Words per Review
169
Rating
10.0
6th
out of 16 in Data Mining
Views
1,617
Comparisons
1,361
Reviews
3
Average Words per Review
354
Rating
9.0
Comparisons
Also Known As
IBM WEX
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Overview

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.

SAS was founded in 1976 and actually began as a project at North Carolina State University to analyze agriculture research. It has since become a global company that is recognized for its innovation in data analytics and business intelligence. SAS is redefining what's possible with data analytics through greater efficiency, strong information value chains, effective collaboration tools, and state-of-the-art visualization software. SAS Analytics is designed for use in a variety of industries including government, manufacturing, higher education, defense & security, banking, automotive, communications, and much more. SAS Analytics is a business intelligence (BI) solution that has the ability to reveal patterns and anomalies in data, identify relationships and different variables, and predict future outcomes. Users of SAS Analytics will benefit from making more sound, better informed business decisions based on company data and market trends. Data mining, data visualization, text analytics, forecasting, statistical analysis, and more are all available through SAS Analytics. Staples, which boasts $27 billion in sales across the globe, has a business philosophy that prioritizes customer loyalty and satisfaction. In order to better engage their customers, Staples utilizes SAS Analytics to plan finely tuned marketing campaigns. Through forecasting and advanced analytics, Staples has been able to rely on fewer contractors, and cut their marketing budget, while improving their customer retention rate.
Offer
Learn more about IBM Watson Explorer
Learn more about SAS Analytics
Sample Customers
RIMAC, Westpac New Zealand, Toyota Financial Services, Swiss Re, Akershus University Hospital, Korean Air Lines, Mizuho Bank, Honda
Aegon, Alberta Parks, Amway China, Axel Springer, Bank of America, Belgium Special Tax, CAP Index, CareSource, CBE Group, Cemig, Center for Responsible Lending, CESCE, Ceska sporitelna, Chantecler, Chico's, Chubb Group of Insurance Companies, CIGNA Thailand, City of Wiesbaden, Germany, Confused.com, Creditreform, Des Moines Area Community College, Deutsche Lufthansa, Directorate of Economics and Statistics, DIRECTV, Dow Chemical Company, Dow Chemical Company, Dun & Bradstreet, EDF Energy, Electrabel GDF SUEZ, ERGO Insurance Group, Erste Bank Croatia, Farmers Mutual Group, Finnair, Florida Department of Corrections, Geneia, Generali Hellas, Genting Malaysia Berhad, Grameenphone, Grandi Salumifici Italiani, HealthPartners, Highmark, Hong Kong Efficiency Unit, HP, Hyundai Securities, Illinois Department of Healthcare and Family ServicesInc Research, ING-DiBa, Institut Pertanian Bogor, InterContinental Hotels Group (IHG), IOM, Kelley Blue Book, Lenovo, Lillebaelt Hospital, Los Angeles County, Maspex Wadowice Group, National Bank of Greece, New Zealand Ministry of Health, New Zealand Ministry of Social Development, Nippon Paper, NMIMS, North Carolina Department of Transportation, North Carolina Office of Information Technology Services, Northern Virginia Electric Cooperative (NOVEC), Oberweis Dairy, ODEC, Ohio Mutual Insurance Group, Oklahoma State University, OneBeacon, Orange Business Services, Orange County Child Support Services, Organic, Orlando Magic, OTP Bank, Plano Independent School District, Project Odyssey, Royal Society for the Protection of Birds, RSA Canada, SCAD, Scotiabank, Singapore National Library Board, Sobeys Inc., SRA International, Staples, Statistics Estonia, Swisscom, SymphonyIRI Group, Telecom Italia, Telef‹nica O2, Town of Cary, Transitions Optical, TrueCar, Turkcell Superonline, UniCredit Bank Serbia, University of Alabama, University of Missouri, USDA National Agricultural Statistics Service
Top Industries
VISITORS READING REVIEWS
Computer Software Company35%
Comms Service Provider15%
Government12%
Financial Services Firm6%
REVIEWERS
Healthcare Company29%
Financial Services Firm29%
Insurance Company14%
Retailer14%
VISITORS READING REVIEWS
Computer Software Company24%
Comms Service Provider19%
Financial Services Firm9%
Educational Organization7%
Company Size
REVIEWERS
Small Business18%
Midsize Enterprise18%
Large Enterprise64%
REVIEWERS
Small Business10%
Midsize Enterprise10%
Large Enterprise80%
Find out what your peers are saying about Knime, IBM, SAS and others in Data Mining. Updated: October 2021.
542,823 professionals have used our research since 2012.

IBM Watson Explorer is ranked 8th in Data Mining with 1 review while SAS Analytics is ranked 6th in Data Mining with 3 reviews. IBM Watson Explorer is rated 10.0, while SAS Analytics is rated 9.0. The top reviewer of IBM Watson Explorer writes "A data analysis tool that is scalable and includes keyword search functionality". On the other hand, the top reviewer of SAS Analytics writes "A user-friendly, easy coding analytics solution that is good for typical predictive analytics". IBM Watson Explorer is most compared with Salesforce Einstein Analytics, Tableau, Microsoft BI, IBM Cognos and Qlik Sense, whereas SAS Analytics is most compared with KNIME, Oracle Advanced Analytics, IBM SPSS Modeler, Weka and SAS Enterprise Miner.

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We monitor all Data Mining reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.