OpenText Intelligent Classification vs SAS Analytics comparison

OpenText and SAS are both solutions in the Data Mining category. OpenText is ranked #15, while SAS is ranked #5 with an average rating of 9.0. OpenText holds a 0.6% mindshare in DM, compared to SAS’s 7.8% mindshare. Additionally, 94% of SAS users are willing to recommend the solution.

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SAS Analytics

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Executive SummaryUpdated on Sep 21, 2025

SAS Analytics and OpenText Intelligent Classification compete in analytics and classification capabilities. SAS is preferred for complex data analysis, while OpenText is favored for its classification strengths.

Features: SAS Analytics offers predictive analytics, data visualization, and deep insights with advanced algorithms. OpenText Intelligent Classification focuses on automating document categorization and provides efficient sorting and tagging with high accuracy.

Ease of Deployment and Customer Service: SAS Analytics has a thorough deployment process with robust training and support. OpenText Intelligent Classification is known for quick deployment, straightforward integration, and adaptable customer service.

Pricing and ROI: SAS Analytics carries a higher setup cost, offering significant ROI through detailed insights. OpenText Intelligent Classification has lower initial costs, offering solid ROI through efficient document management.

To learn more, read our detailed Data Mining Report (Updated: August 2025).

Buyer's Guide

Data Mining

August 2025

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Helped 868,275 peers since 2012

Review summaries and opinions

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

Categories and Ranking

OpenText Intelligent Classi...

Ranking in Data Mining

15th

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

SAS Analytics

Ranking in Data Mining

5th

Average Rating

9.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of September 2025, in the Data Mining category, the mindshare of OpenText Intelligent Classification is 0.6%, up from 0.1% compared to the previous year. The mindshare of SAS Analytics is 7.8%, up from 7.3% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Mining Market Share Distribution
Product	Market Share (%)
SAS Analytics	7.8%
OpenText Intelligent Classification	0.6%
Other	91.6%

Data Mining

Featured Reviews

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AltanAtabarut

Solution Consulting, Growth, Analytics at Akinon

Good interactive reports and dashboards but expensive to run

You need to constantly jump from data prep to visualization, then back to data for fixing quality, enriching, and visualizing again. Then you start modeling and need to switch back and forth again. Eventually, you have to democratize the results so that anyone can look and interactively question the underlying insights. For all of these purposes - data to BI or data to AI to BI - it is never a linear one way relationship; it's rather a closed loop for continuous analysis monitoring and sharing. If used this way, SAS Visual analytics can enable continuous improvement and innovation in a corporation.

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868,275 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

No data available

Financial Services Firm

20%

Computer Software Company

10%

Insurance Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	2
Large Enterprise	9

Questions from the Community

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What do you like most about SAS Analytics?

I like that it is quickly embedding interactive reports and dashboards into a website, Outlook Mail, or even a mobile app.

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What needs improvement with SAS Analytics?

SAS Analytics could improve in areas such as handling stress tests and workloads, as well as predicting financial movements, specifically profit and loss movements.

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What is your primary use case for SAS Analytics?

I use SAS Analytics ( /products/sas-analytics-reviews ) in my work to analyze data, such as selecting credits for traditional securitization. Recently, I used SAS Analytics ( /products/sas-analytic...

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Comparisons

No data available

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Product Reports

Buyer's Guide

Data Mining

August 2025

OpenText Intelligent Classification report

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Buyer's Guide

Data Mining

August 2025

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Overview

OpenText Intelligent Classification offers a sophisticated method for automating document classification, improving information management by leveraging advanced machine learning.

OpenText Intelligent Classification enables businesses to effectively manage content by harnessing the power of machine learning to automatically categorize and index documents. This enhances document accessibility, streamlines compliance, and reduces manual efforts. Its adaptable framework integrates seamlessly into existing systems, providing a scalable solution for organizations aiming to optimize content management workflows. By focusing on accuracy and efficiency, it supports improved decision-making with reliable data.

What essential features does OpenText Intelligent Classification offer?

Automated Classification: Uses AI to automatically organize documents based on content.
Accuracy Improvement: Continuously learns from data input to enhance classification precision.
Integration Capability: Easily integrates with existing document management systems.
Scalable Architecture: Adapts to growing data needs without sacrificing performance.

What benefits should users consider in reviews?

Increased Efficiency: Reduces time spent on manual document sorting and retrieval.
Cost Savings: Lowers operational costs by minimizing manual processes.
Enhanced Compliance: Supports regulatory compliance by ensuring accurate data classification.
Better Decision-Making: Provides reliable data for informed business decisions.

OpenText Intelligent Classification is applied across industries like finance and healthcare, where accurate document handling is critical. In finance, it manages the influx of transaction records, ensuring swift compliance and retrieval. Healthcare applications focus on patient records, optimizing data management for improved healthcare delivery.

OpenText

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.

SAS

Sample Customers

TORA Trading Services, North Star BlueScope Steel, Eldorado Computing, Linkaform, MOBIS Parts Australia, Storengy Engie, Delta RM, Knorr-Bremse Group, KMD, APP Corporation, Westpac Banking Corporation

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

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