Many organisations provide digital products or services that need to handle personally identifiable information.

The challenge is providing product and engineering teams with a sufficient volume of realistic looking synthetic data to enable them to design, develop and test their solutions.

Barry will present open source tools and open data sources that can be used to tackle this challenge, and then demo this in action to generate thousands of synthetic customers.

He will describe how this approach can be used to build better products, to test products using production quality data at production scale, and embed data quality and best practice information security practices in your engineering processes.