ML Platforms

SAS Enterprise Miner

A powerful tool for data mining and predictive analytics.

SAS Enterprise Miner screenshot

Overview

SAS Enterprise Miner is a comprehensive software suite designed for data mining and predictive analytics. It helps users to analyze data and build predictive models with ease. The software is widely used by businesses to gain insights and improve decision-making based on data-driven evidence.

With its user-friendly interface, SAS Enterprise Miner allows users, even those without strong coding skills, to develop and validate predictive models efficiently. The tool is equipped with a variety of algorithms that cater to different predictive modeling needs, making it versatile for various industries.

In addition, SAS Enterprise Miner supports collaborative projects and data visualization, allowing teams to work together seamlessly. Its integration capabilities with other SAS tools enhance its functionality, ensuring users can tackle complex analytics tasks effectively.

Pros

  • Easy to use
  • Comprehensive features
  • Strong support
  • Collaborative features
  • Flexibility

Cons

  • Cost
  • Learning curve
  • System requirements
  • Limited free support
  • Updates
Free

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Key features

User-friendly interface

Offers a drag-and-drop interface for easy model building.

Wide range of algorithms

Supports numerous modeling techniques, including regression and decision trees.

Data preparation tools

Provides features for data cleaning and transformation, ensuring high data quality.

Automated modeling

Allows for the automation of certain model-building processes, saving time.

Validation tools

Offers robust evaluation metrics to assess model performance.

Scalability

Suitable for large datasets, making it flexible for various project sizes.

Integration capabilities

Works well with other SAS products and various data sources.

Visualization options

Includes tools for creating insightful data visualizations.

Rating Distribution

5
101 (52.6%)
4
72 (37.5%)
3
14 (7.3%)
2
3 (1.6%)
1
2 (1.0%)

Feature Ratings

Overall Satisfaction82%

Based on real user reviews. Expand a category to see individual feature scores.

Statistical Tool81% 3 features
Scripting81%

As reported in 86 SAS Enterprise Miner reviews. Supports a variety of scripting environments

Based on 86 reviews
Data Mining83%

Mines data from databases and prepares data for analysis This feature was mentioned in 93 SAS Enterprise Miner reviews.

Based on 93 reviews
Algorithms80%

Based on 89 SAS Enterprise Miner reviews. Applies statistical algorithms to selected data

Based on 89 reviews
Data Analysis88% 2 features
Analysis91%

Based on 103 SAS Enterprise Miner reviews. Analyzes both structured and unstructured data

Based on 103 reviews
Data Interaction84%

Interacts with data to prepare it for visualizations and models 103 reviewers of SAS Enterprise Miner have provided feedback on this feature.

Based on 103 reviews
Decision Making79% 4 features
Modeling86%

Based on 97 SAS Enterprise Miner reviews. Offers modeling capabilities

Based on 97 reviews
Data Visualizations72%

Creates data visualizations or graphs This feature was mentioned in 103 SAS Enterprise Miner reviews.

Based on 103 reviews
Report Generation80%

Based on 100 SAS Enterprise Miner reviews. Generates reports of data performance

Based on 100 reviews
Data Unification78%

Unifies information on a singular platform This feature was mentioned in 17 SAS Enterprise Miner reviews.

Based on 17 reviews
Model Development7 features
Language Support

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Drag and Drop

Offers the ability for developers to drag and drop pieces of code or algorithms when building models

Pre-Built Algorithms

Provides users with pre-built algorithms for simpler model development

Model Training

Supplies large data sets for training individual models

Pre-Built Algorithms

Provides users with pre-built algorithms for simpler model development

Model Training

Supplies large data sets for training individual models

Feature Engineering

Transforms raw data into features that better represent the underlying problem to the predictive models

Machine/Deep Learning Services8 features
Computer Vision

Offers image recognition services

Natural Language Processing

Offers natural language processing services

Natural Language Generation

Offers natural language generation services

Artificial Neural Networks

Offers artificial neural networks for users

Computer Vision

Offers image recognition services

Natural Language Understanding

Offers natural language understanding services

Natural Language Generation

Offers natural language generation services

Deep Learning

Provides deep learning capabilities

Deployment6 features
Managed Service

Manages the intelligent application for the user, reducing the need of infrastructure

Application

Allows users to insert machine learning into operating applications

Scalability

Provides easily scaled machine learning applications and infrastructure

Managed Service

Manages the intelligent application for the user, reducing the need of infrastructure

Application

Allows users to insert machine learning into operating applications

Scalability

Provides easily scaled machine learning applications and infrastructure

Administration3 features
Quality Control

Data quality consists of deduplication, cleansing, and appending your marketing database.

Data Sampling

Allows users to select samples of data for defined procedures.

Collaboration

Share data across your organization.

Capabilities4 features
Data Visualization

Communicate complex information clearly and effectively through advanced graphical techniques.

Survival Analysis

Supports evaluation of durations, events, and reliability in relation to statistical analysis

Risk Data Attributes

Identify risk data attributes such as description, category, owner, or hierarchy.

Cost Analysis

Tools to analyze financial data in order to gain usable insights.

Methodology3 features
ANOVA Support

Supports analysis of variance (ANOVA) to determine observed variance.

Regression

Supports various regression methods such as ordinary least squares (OLS), weighted least squares (WLS), or generalized linear model (GLM).

Time Series Analysis

Supports the analysis of time series data for predictive analytics and exploratory analysis.

System3 features
Data Ingestion & Wrangling

Gives user ability to import a variety of data sources for immediate use

Language Support

Supports programming languages such as Java, C, or Python. Supports front-end languages such as HTML, CSS, and JavaScript

Drag and Drop

Offers the ability for developers to drag and drop pieces of code or algorithms when building models

4.2
★★★★☆
Based on 192 reviews
Udbhasan D.Enterprise(> 1000 emp.)
October 15, 2024
★★★★★

Best platform for building data stories

What do you like best about SAS Advanced Analytics?

1. Easy data mining and data preparation

2. Ease of use in terms of statistical analysis and understanding behavioral patterns

3. integration of legacy SQL helps experienced individuals to come to the platform and use it

What do you dislike about ...

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Vishal R A.Data Engineer - AdTechEnterprise(> 1000 emp.)
March 6, 2024
★★★★★

Best Tool for Predictive modelling and Data mining

What do you like best about SAS Enterprise Miner?

SAS Enterprise Miner has helped us in building credit risk scoring models for our credit card product. It has also helped in making fraud detection models as well. Apart from this , we can easily do initial data exploration exercises during any predi...

Read full review on G2 →
Priyanshu A.Data Analyst internEnterprise(> 1000 emp.)
March 21, 2024
★★★★★

Best Tool for Predictive Modelling

What do you like best about SAS Enterprise Miner?

One of the Best tool for Predictive modelling. We have used this tool for making Credit risk model like predicting the deafulter by anlysisng the credit bureau variables.

What do you dislike about SAS Enterprise Miner?

As far as I have used this pro...

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Suvhradip G.Software EngineerMid-Market(51-1000 emp.)
November 22, 2023
★★★★☆

I am a software engineer working as a SWE role. My skillset is based on Python, React, DevOps, etc.

What do you like best about SAS Enterprise Miner?

It helps to findout best analysis which helps to predict for any kind of business that is the best part.

What do you dislike about SAS Enterprise Miner?

As of now I dont see anything which I doesnot like.

What problems is SAS Enterprise Miner solvi...

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Henry L.Data analystEnterprise(> 1000 emp.)
October 5, 2023
★★☆☆☆

Sas entreprise miner

What do you like best about SAS Enterprise Miner?

Upsides: drag and drop interface for simple tasks

What do you dislike about SAS Enterprise Miner?

Hard to share the same project files with the data files attached, hard to configure and set the algorithms the exact way I want it (change objects or ...

Read full review on G2 →

Company Information

LocationCary, NC
Founded1976
Employees17.2k+

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FAQ

Here are some frequently asked questions about SAS Enterprise Miner.

What is SAS Enterprise Miner used for?

SAS Enterprise Miner is used for data mining, predictive modeling, and analytics to help businesses make better decisions based on data.

Can beginners use SAS Enterprise Miner?

Yes, SAS Enterprise Miner has a user-friendly interface that makes it accessible for beginners, even those without strong programming skills.

What types of algorithms does SAS Enterprise Miner offer?

The software offers a variety of algorithms, including decision trees, regression analysis, and neural networks.

Is SAS Enterprise Miner suitable for large datasets?

Yes, SAS Enterprise Miner is scalable and can handle large datasets effectively.

Does SAS Enterprise Miner provide data visualization tools?

Yes, it includes several data visualization options to help users better understand their data.

How can I get support for SAS Enterprise Miner?

Support is available through SAS’s customer service and comprehensive online resources.

Is SAS Enterprise Miner a one-time purchase?

No, SAS Enterprise Miner is typically offered as a subscription service, which may involve ongoing costs.

Can SAS Enterprise Miner be integrated with other software?

Yes, it integrates well with other SAS products and various data sources, enhancing its functionality.