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A study by Perforce Delphix shows that only 34% of business leaders believe synthetic data can preserve referential integrity, and only 38% believe synthetic data is realistic enough. The study also notes that data quality, rather than compliance or governance, has become the biggest obstacle to synthetic data adoption. The research further shows that 66% of software leaders currently do not use synthetic data in development and testing, while 51% of enterprises have used it to protect sensitive information. Related reports suggest that synthetic data tools need to preserve relationships across databases, generate data in dependency order, and continuously validate business logic.
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Oct 16
The New Stack
Only 34% of enterprises trust the referential integrity of synthetic data, making data quality the biggest obstacle to adoption
Perforce Delphix research shows that only 38% of enterprise leaders believe synthetic data is realistic enough, and 34% believe it can maintain referential integrity, with data quality rather than compliance or governance becoming the biggest obstacle to adoption. Currently, 66% of software leaders have not used synthetic data in development and testing, while 51% of enterprises have used it to protect sensitive information. The article suggests that synthetic data tools need to preserve relationships across databases, generate data in dependency order, and continuously validate business logic.