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.
Tune in to learn:
- What Sisu provides its customers (02:20)
- How Sisu offers recommendations after making its findings (15:30)
- The benefits of using Sisu (26:40)
- Which dimensions help Sisu make its determinations (30:30)
To view the episode transcript, please click here: Episode Transcript
About the Guest:
BIO: “A technology leader with experience in large-scale transactional applications and distributed systems. Strong ability to solve obscure and difficult problems with simple but elegant solutions. Several years of management experience with expertise in building rock star teams that consistently deliver stellar technical and business results.”
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