In this episode, we discuss what happens when data from external partners is imported into pharmaceutical systems via interfaces.
In this episode, we discuss what happens when data from external partners is imported into pharmaceutical systems via interfaces — and why a technically flawless import process is not necessarily a guarantee of quality. Using real-world case studies, we highlight where data runs into trouble: with units and formats, with silent data loss, and with values that appear plausible but don’t make business sense. The central thesis: when it comes to units and formats, silent data loss, and values that look plausible but don’t make technical sense. The central argument: A system can validate formats, but only someone who understands the subject matter can determine whether a value is actually correct. An episode exploring why strong domain knowledge in data management isn’t just a nice-to-have, but crucial for data integrity.