79: All About Experimentation with Che Sharma of Eppo

Highlights from this week’s conversation include:

• Che’s background and career journey (4:23)
• Coherence between hemispheres in the human brain (6:58)
• Raising Airbnb above primitive AB testing technology (8:54)
• Economic thinking in Airbnb’s data science practice (14:24)
• Dealing with multiple pipelines (16:48)
• Eppo’s role in recognizing statistically significant data (20:01)
• Defining “experiment” (23:25)
• Types of experiments (25:57)
• The workflow journey (27:18)
• Dealing with metric silos (34:21)
• Why we still need to innovate today (37:03)
• Where experimentation can be used (39:36)
• How big a sample size should be (43:29)
• How to self-educate to get the maximum value (45:39)
• Bridging the gap between data engineers and data scientists (48:14)

The Data Stack Show is a weekly podcast powered by RudderStack, the CDP for developers. Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.

RudderStack helps businesses make the most out of their customer data while ensuring data privacy and security. To learn more about RudderStack visit rudderstack.com.

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