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SAS® Data Maker
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SAS® Data Maker
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Generate synthetic data that mirrors real data and better protects sensitive information while reducing expenses related to data acquisition and processing time. SAS Data Maker provides an alternative to manually collecting real data or purchasing third-party data sets. SAS Data Maker uses algorithms to unlock the potential of existing data with an easy-to-use interface that quickly generates the right amount of synthetic data for your goals. You can investigate synthetic data quality using various visual statistical evaluation metrics to verify that the synthetic data contains consistent patterns and insights as your real data.
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Get Started
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Ready to generate synthetic data? These resources are a good place to start.
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Learn the basics
Get up-to-speed on SAS Data Maker features and functions with these tutorials:
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Stay connected
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Be part of the SAS community. We offer a variety of ways for you to interact with users and experts.
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Tutorials
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Browse our library of free SAS Data Maker tutorials to learn something new or sharpen your skills.
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Connectors
Projects
Source Data
- Select the Source Data for Your Project
- Semantic Type Properties
- Source Data Requirements
- Supported File Types
Training
Evaluation Results
Synthetic Data
Programming
Turbocharge your experiments with synthetic data.
Optimize risk-based pricing with AI and synthetic data.
See SAS Data Maker in action.
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Documentation
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Find user's guides and other technical documentation for SAS Data Maker.
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SAS Data Maker
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SAS Data Maker Blogs & Communities
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Featured Blogs
- Building a healthcare digital twin for operations and AI innovation
- Outside of the norm: Spot rare event fraud with data and AI
- The modern statistical computing environment is changing everything
- What you feed your AI matters: A practical guide to synthetic data
- How to modernize your data estate for AI success
Featured Community Topics
- Machine Learning with a Rare Target Event Level – Part 4: Improving Model Performance
- Comparing SMOTE, MST, and Bayesian Networks for Synthetic Data Generation in SAS Data Maker
- Using the SMOTE Method to Synthesize Data in SAS Data Maker
- Creating Synthetic Data using PROC SMOTE, PROC SIMNORMAL and PROC TABULARGAN
- Trust but Verify: How SAS Data Maker Evaluates Synthetic Data Quality and Privacy