Quality is delighting customers
|Broadcast Date: Wednesday, January 11, 2017, 11:00 a.m. Eastern
Traditionally, test data management has involved copying, masking, and subsetting production data. While masking data does offer production-like data, it’s also slow, complex, and often error-prone, increasing the risk of sensitive information making it to less secure test environments.
Join this web seminar to discover how synthetic data generation can create realistic test data that contains no sensitive information. What’s more, this test data will contain the negative paths, future scenarios, and outliers not typically found in production, providing the data needed to maximize test coverage.
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