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30 Companies Use SAS Enterprise Miner for Predictive Analytics

  • 30 companies in our database
  • 4 countries
  • Pay per contact, no subscription

SAS Enterprise Miner is data mining software that helps organizations build predictive and descriptive models from large datasets. 30 companies use it to detect fraud, forecast demand, and discover hidden patterns in complex data.

You can reach 4 Operations Managers and 4 Data Scientists at these organizations. These teams typically drive tool adoption and model development for analytics initiatives.

Companies
30
Contacts
31
Countries
4
Category
Predictive Analytics & Data Mining

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Reach decision-makers at companies using SAS Enterprise Miner

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What is SAS Enterprise Miner?

SAS Enterprise Miner is a data mining and predictive modeling platform developed by SAS Institute. It enables users to analyze large volumes of data, discover patterns, and build models for fraud detection and forecasting. The software supports supervised and unsupervised learning and integrates R model development.

Vendor
SAS Institute
Pricing
Subscription and license basis, starting at $8,000 per user/year

Sample companies that use SAS Enterprise Miner

CompanyLocationContacts
DeloitteIndia2
4D HealthwareUnited States1
Acuver ConsultingIndia1
Assured GuarantyUnited States1
Bank of AmericaIndia1
Boston University School of Public HealthUnited States1
Canada Revenue Agency - Agence du revenu du CanadaCanada1
CognizantCanada1
DiligentUnited Kingdom1
Direct Line GroupUnited Kingdom1
Duke Cancer InstituteUnited States1
HCL Technologies America IncUnited States1

18 more companies use SAS Enterprise Miner

Browse the full list free →

A sample of the companies in our database. The full account list and contacts are available in the app.

Who you can reach at SAS Enterprise Miner companies

You can reach 4 Operations Managers and 4 Data Scientists at companies using SAS Enterprise Miner. These roles make or influence tool selection and are actively involved in model building and analytics operations.

By role

  • Operations Manager4
  • Data Scientist4
  • Software Engineer3
  • Business Analyst2
  • IT Support2
  • Financial Analyst1
  • Data Engineer1
  • Growth Marketer1

By role, measured in contacts.

By country

  • United States21
  • India6
  • Canada2
  • United Kingdom2

By country, measured in contacts.

SAS Enterprise Miner alternatives

  1. 1. Alteryx

    Workflow-based data preparation and analytics platform positioned as an alternative to enterprise data mining tools

  2. 2. IBM SPSS Statistics

    Statistical analysis and modeling software used by 2 companies in this dataset

  3. 3. Posit

    Open-source R and Python data science platform used by 4 organizations in this dataset

  4. 4. Amazon SageMaker

    Cloud-native machine learning service for building and deploying predictive models at scale

  5. 5. DataRobot

    Automated machine learning platform that competes in the enterprise predictive analytics space

Frequently asked questions

Which industries use SAS Enterprise Miner?
Our database shows users across financial services, consulting, healthcare, and government. Sample users include Bank of America, Deloitte, Cognizant, and the Canada Revenue Agency.
What roles should I target at companies using SAS Enterprise Miner?
The most common contacts are 4 Operations Managers and 4 Data Scientists, followed by 3 Software Engineers and 2 Business Analysts.
What other tools do SAS Enterprise Miner users typically have?
5 companies also use Microsoft SQL Server, 4 use Zoom Workplace, and 4 use Posit for complementary analytics and communication needs.
How many companies in our database use SAS Enterprise Miner?
We have 30 companies using SAS Enterprise Miner across 4 countries, with 31 total contacts on file.

What these companies also use

Based on the other products the same people reviewed. Browse every tool.

Sources