Is test data blocking your software delivery?
In 2024, why do enterprise test data strategies feel outdated by 30 years?
Masking and copying data supports compliance, but does nothing to solve the 20-50% of test and development time spent on data-related activity [1]. Nor does it provide the data needed to de-risk rapid software changes. Parallel tools and teams need continuous access to accurate, up-to-date test data. “Waterfall” data provisioning is killing productivity. It exposes development to costly risks and bottlenecks across your whole DevOps flow.
Ben Riley will reflect on his 10+ years’ as a test data consultant, teaching you his 3-part methodology for test data modernization at enterprise-scale. He will start with best practices for understanding your data’s relationships and sensitive contents, setting out how this allows you to then find, make and anonymize data for every test, environment and team.
Ben will then discuss automated techniques for serving this rich data on demand, before handing over to Lina Deatherage for a live demo of how she is using these Enterprise Test Data techniques at Global 2000 companies worldwide.
[1] Industry research and Curiosity’s implementation experience has found that the average test and development team spends 20-50% of their time on data-related activities like finding data, making it, or waiting for it to become available.