Key benefits of using Pattern-Based Synthetic Data
Future Scenario Generation
Generate values that follow precise data patterns (e.g. custom IDs, product numbers) using regex or format rules. This ensures realistic, structurally valid data for testing and system integration.
Future Scenario Generation
Pattern-Based Synthetic Data can extract existing trends and patterns to generate hypothetical future scenarios. This allows organizations to generate data for potential future scenarios.
Scenario Testing and Simulation
Generate rare or hypothetical scenarios not present in existing data. This enables the creation of various scenarios relevant for stress-testing of applications.
Rare Observation Generation
Pattern-Based Synthetic Data can be used to generate underrepresented cases, edge cases, rare events, or unusual scenarios, ensuring that data reflects potential scenarios.
Data creation in 3 steps
Define patterns
Decide the structure or format your data should follow.
- Example: Define a format for the product number
- Tools: Business rules, formulas, or constraints
Use Rule-Based Synthetic Data
Set up formulas or rules to automatically generate values according to the defined patterns.
- Example: Product Number: ?????-#########
- ? is replaced by a character from a defined set
- # is replaced by a number
Generate and validate the data
Run the formulas, preview the results, and verify correctness.
- Ensure all rules are applied correctly
- Optionally, tweak or correct patterns as needed
Real data problematic?
Turn to synthetic data!
Explore with us how to create data that mimics real data,
safely and efficiently, using synthetic data