Remove 2009 Remove Big Data Remove Experimentation Remove Statistics
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

Remember that the raw number is not the only important part, we would also measure statistical significance. Airbnb had enough data points to be confident in their results. By late 2009, that experiment was a success, too; they'd climbed back up to 4.5 The result? The graph is impressive, right?

Metrics 156
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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Having more data is generally better; however, there are subtle nuances. Use of influence functions goes back to the 1970s in robust statistics.