The Need for Interoperability

Interoperability in data management is essential to streamline processes and reduce unnecessary complexities. The reliance on ETL (Extract, Transform, Load) processes often arises from proprietary data formats, which complicate the exchange of data. Without effective interoperability, organizations spend valuable time and resources converting data instead of focusing on more impactful tasks, such as developing innovative solutions to pressing global issues like cancer. Consequently, the conversation highlights the potential for significant improvements in efficiency if interoperability challenges are effectively addressed.