Big data and big insights
summary
Panel argues that practical wins come from concrete methods: use SurveyMonkey Genius to auto‑construct surveys from 47 billion historical answers and optimize questions, marry that human feedback to operational metrics, and build data projects by working backwards from the business problem. Store deduplicated raw audio/telemetry when affordable, use vendors like Heap/Pendo for event capture, and focus narrow AI pilots (3,000 AI startups funded, >$1B invested last year) rather than hype.
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chapters (7)
- 0:00Start
- 1:28Key Pointers for Pulling Out those Important Insights
- 7:13Survey Monkey Genius
- 9:08Machine Generated Data
- 9:38Distinction between Machine and Human Generated Data
- 12:49Levels of Structure
- 22:44Final Words
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