# What is SAS Visual Data Mining and Machine Learning used for?

What is SAS Visual Data Mining and Machine Learning used for?

##### Post Metadata
- Posted at: over 2 years ago
- Author title: Pinned by G2 as a common question



## Comments
### Comment 1

SAS Visual Data Mining and Machine Learning (VDMML) is a unified, in-memory platform used for end-to-end data science and analytics.

It is primarily used for:

Data Preparation: Cleaning, exploring, and engineering features from massive datasets.

Model Building: Developing predictive models using automated machine learning (AutoML), deep learning, clustering, and traditional statistics.

Visual & Code Interfaces: Allowing users to build models via a drag-and-drop visual interface or by writing code (SAS, Python, R).

Model Deployment: Scaling, managing, and putting machine learning models into production quickly.

##### Comment Metadata
- Posted at: 3 days ago
- Author title: State Revenue Expert | Statistics & Financial Economics | Big Data Analyst | SAS



### Comment 2

SAS Visual Data Mining and Machine Learning is mainly used to analyze large data, find patterns, and build predictive models to support better business decisions. It is used to explore data, apply machine learning techniques, and create insights that help organizations make smarter decisions. SAS Visual Data Mining and Machine Learning helps businesses understand their data, predict future trends, and improve performance through advanced analytics.

##### Comment Metadata
- Posted at: 28 days ago
- Author title: Customer Support Engineer L2 at Allied Digital




## Related Product
[SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews)

## Related Category
[Analytics Platforms](https://www.g2.com/categories/analytics-platforms)

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