How Synthetic Data Delivers Quality at Speed in Financial Services

One of the hottest trends in software quality assurance is the use of synthetic data to augment or replace production data for testing core applications. In regulated industries, like financial services, synthetic data eliminates the risk of exposing any Personally Identifiable Information (PII) that might be contained in a production database.

However, synthetic data offers many other benefits when generated by GenRocket’s Test Data Automation (TDA) platform. Comprehensive synthetic test data can be designed and generated on-demand to accelerate cycle time, increase test coverage, and reduce the overall cost of test data management.

Here’s the real-world experience of one global financial services organization…

GenRocket’s synthetic test data solution helped us increase our regression testing coverage from 30% to 80% and provided a wider range of code coverage paths for our systems under test. At the same time, we reduced our testing cycle time from 16 days down to 2 hours.

Our latest blog post explains how this QA team is using synthetic data to maximize coverage by designing and generating all possible data combinations and permutations when testing an account origination application.