When a key developer, the sole specialist responsible for all testing in the data pipeline at a major European transportation firm, gave his notice, the company was faced with a critical problem. The options were limited: scramble for a replacement or rethink their approach to testing. Fortunately, automation stepped in, providing a much-needed relief.

But the problems didn’t end there. After moving their informational infrastructure to the cloud, new issues with metadata and validation started popping up. The information structure was complex and inconsistent, making data reporting faulty and too complicated for just one person to handle. To resolve the problem, the company…