SAS Enterprise Miner logo

SAS Enterprise Miner

by SAS Institute
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ActiveAvailable globallyCloud
Quick facts
VendorSAS Institute
Year launched
StatusActive
LocationCary, North Carolina, United States
Countries servedGlobal
Languages6
Integrations1+
Free tier
Free trial
Contact salesYES

About SAS Enterprise Miner

SAS Enterprise Miner is a data mining software from SAS Institute that helps create accurate predictive and descriptive models for large volumes of data. It combines data management, data visualization, and machine learning capabilities so users can effectively analyze complex data sets. The software supports various techniques for model development, including decision trees and neural networks. Additionally, it provides integration with the SAS Viya platform for improved analytics capabilities. Key capabilities: data management predictive modeling machine learning data visualization integration with SAS Viya Best for: data analysts and data scientists that need to develop reliable models for insights from large datasets.

SAS Enterprise Miner (SEM) by SAS Institute is a well-established, enterprise-grade data mining and predictive analytics platform that caters to organizations seeking to derive deep insights from complex and voluminous datasets. Designed to streamline the entire data mining lifecycle—from data preparation and exploration to model building, evaluation, and deployment—SEM combines an intuitive process-flow interface with an expansive toolkit of algorithms and statistical methods. What sets it apart is its ability to serve both technical users, such as data scientists and statisticians, and business analysts with less coding experience through features like the SAS Rapid Predictive Modeler. This dual-accessibility approach, paired with its visual drag-and-drop GUI, ensures that complex modeling workflows can be understood, built, and shared easily across teams. The heart of SEM lies in its extensive modeling capabilities, covering everything from decision trees and logistic regression to more advanced techniques like neural networks, gradient boosting, and ensemble methods. This wide selection allows users to tailor their modeling approaches to specific business challenges such as fraud detection, customer churn prediction, or risk scoring.

Pros & Cons

What users like
  • +Comprehensive Modeling Tools: Offers a wide range of predictive and descriptive modeling techniques, including decision trees, neural networks, and regression.
  • +User-Friendly Interface: Interactive GUI with process flow diagrams makes it accessible to both technical and nontechnical users.
  • +Rapid Model Development: SAS Rapid Predictive Modeler enables business users to build models quickly without deep statistical knowledge.
  • +Automated Scoring: Generates scoring code in multiple languages (SAS, C, Java, PMML) for easy deployment across platforms.
  • +Advanced Data Prep: Includes powerful tools for handling missing values, outliers, and segmentation.
  • +Open Source Integration: Supports R for model training and scoring, expanding flexibility.
  • +Viya Integration: Seamlessly incorporates SAS Viya actions for enhanced performance and scalability.
  • +Scalable Architecture: Suitable for both small teams and large enterprises, with cloud deployment options.
What users flag
  • Complexity for Beginners: Despite its GUI, the depth of features may require training for full utilization.
  • Licensing Costs: As proprietary software, pricing may be a barrier for smaller organizations.
  • Limited Cloud-Native Design: While cloud deployment is supported, it may not be as seamless as newer cloud-native platforms.
  • Heavy System Requirements: High-performance nodes and Viya integration may demand robust infrastructure.

Features

Key features

Comprehensive Analytical Power
Offers an extensive array of predictive and descriptive modeling techniques.
User-Friendly Interface
Interactive process flow diagrams and the simplified Rapid Predictive Modeler cater to diverse user skill levels.
Automated Model Deployment
Significantly accelerates the operationalization of models by auto-generating scoring code.
High Performance & Scalability
Designed to handle large datasets and scale from single users to enterprise-wide solutions.
Strong Integration
Seamlessly integrates with SAS Viya and offers open-source R (and Python) integration.
Robust Data Preparation
Provides sophisticated tools for data cleaning, transformation, and exploration.
Extensive Support & Resources
Backed by SAS's comprehensive customer support, documentation, and training.

Additional features

Comprehensive Analytical Power
Offers an extensive array of predictive and descriptive modeling techniques.
User-Friendly Interface
Interactive process flow diagrams and the simplified Rapid Predictive Modeler cater to diverse user skill levels.
Automated Model Deployment
Significantly accelerates the operationalization of models by auto-generating scoring code.
High Performance & Scalability
Designed to handle large datasets and scale from single users to enterprise-wide solutions.
Strong Integration
Seamlessly integrates with SAS Viya and offers open-source R (and Python) integration.
Robust Data Preparation
Provides sophisticated tools for data cleaning, transformation, and exploration.
Extensive Support & Resources
Backed by SAS's comprehensive customer support, documentation, and training.

Pricing

Free trial
Free version
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Countries & Languages

Global
Countries served
6
Interface languages
8
Billing currencies

Interface languages

EnglishFrenchGermanJapaneseKoreanSpanish

Billing currencies

🇺🇸USD🇪🇺EUR🇬🇧GBP🇦🇺AUD🇨🇦CAD🇯🇵JPY🇨🇳CNY🇮🇳INR

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