Reveal valuable insights with powerful data mining, model development and deployment software

Screenshot of SAS Enterprise Miner showing association analysis with highlight

SAS Enterprise Miner

Streamline the data mining process to develop models quickly. Understand key relationships. And find the patterns that matter most.



Key features

Descriptive and predictive modeling provide insights that drive better decision making.

Easy-to-use GUI & batch processing

Build more – and better – models faster.

Sophisticated data preparation, summarization & exploration

Address missing values, filter outliers, develop segmentation rules, etc., with powerful, interactive data preparation tools.

Advanced predictive & descriptive modeling

Gain superior analytical depth with a suite of statistical, data mining and machine-learning algorithms.

Open source integration with R

Perform data transformation and exploration, and train and score supervised and unsupervised models in R.

High-performance capabilities

Boost performance with the included high-performance data mining nodes.

Fast, easy, self-sufficient way for business users to generate models

SAS Rapid Predictive Modeler automatically steps nontechnical users through a workflow of data mining tasks.

Model comparisons, reporting & management

Quickly identify which models produce the best lift and overall ROI with easy-to-use assessment features.

Automated scoring

Automatically generate score code in SAS, C, Java and PMML, then deploy the scoring code in a variety of real-time or batch environments – in SAS, on the web, or directly in relational databases or Hadoop.

Ability to call SAS Viya actions within a process flow

Use the SAS Viya code node to submit and execute SAS Viya code directly in a SAS Enterprise Miner process flow.

Scalable processing

Scale from a single-user system to very large enterprise solutions with the Java client and SAS server architecture.

Cloud deployment option

Reap the benefits of our most advanced software and scalable architecture, managed and supported by SAS experts in a secure, cloud-based environment.


Recommended resources for SAS Enterprise Miner

Fact Sheet

SAS Enterprise Miner

Customer Story

Seacoast Bank: Finding your best customers with machine learning

Insights

Analytics Insights