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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 Details

Vendor
SAS Institute
Year Launched
Location
Cary, North Carolina, United States
Deployment
cloud
Training Options
Countries Served
All Countries
Languages
English, French, German, Japanese, Korean, Spanish
Users
Data Scientists, Statisticians, Business Analysts, Data Engineers, Risk Analysts, Fraud Analysts, Marketing Analysts, Actuaries, Quantitative Researchers, Predictive Modelers, Academic Researchers, Operations Analysts, Customer Insight Managers, Government Data Specialists
Industries Served
Banking, Financial Services, Insurance, Retail, Telecommunications, Healthcare, Manufacturing, Government, Education and Academia, Transportation, Energy and Utilities, Marketing and Advertising, Pharmaceuticals, E-commerce, Logistics and Supply Chain
Tags
Data Mining, SAS Enterprise Miner

SAS Enterprise Miner's In-App Market Place

Does SAS Enterprise Miner have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), AUD (A$), CAD (C$), JPY (¥), CNY (¥), INR (₹)

Pros & Cons

  • 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.
  • 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.

SAS Enterprise Miner's Support Options

Chatbot

Available

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