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There is broad buy-in across the company, including from the C-Suite, that, whenever possible, results from A/B tests or other causal inference approaches are near-requirements for decision making. our first investments in tooling to support A/B tests came way back in 2001. Early experimentation tooling at Netflix, from 2001.
most of them are structured as data scientist manuals focusing on algorithms and methodologies and assume that human decisions play a central role in transforming analytical findings into business actions. This framework will later be used to describe analytical problems in a more uniform way. Heckerman, and C. Kleinberg, C.
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