To ensure accuracy in execution despite changes in data sources, I will implement regular audits. By scheduling frequent checks, we can verify the integrity and structure of the data. If any discrepancies or changes are detected, automated alerts will notify the appropriate stakeholders, allowing for timely resolution and ensuring the process runs smoothly.

Making use of a design pattern (which is a good practise adopted from traditional development) assists with separating data from business logic and process interaction. But breaking the process into these three layers, it allows for these kinds of changes to be implemented without impacting the functionality of a process. Having a robust test strategy is also crucial for measuring and ensuring the accuracy.

In such scenarios a detailed logging mechanism and keeping the things configurable comes handy. Detailed logging mechanism will help you identifying the impact of data source changes and where you have test post the changes has been done. Secondly if your data sources were kept in configuration, it will help you to make the change quickly without affecting your code..