Businesses often rely on data to provide them with useful insights about the “what” — what is working and what isn’t. But is there a way to uncover the “why”? Jigar Desai is the SVP of Engineering at Sisu, a data intelligence engine that uses automated analytics to determine why certain KPI changes occur. On this episode, Jigar explains the revolutionary technology behind the Sisu engine, what its implementation process involves, and how this very podcast could benefit from its use.
