2009, Experimentation, Reporting and Statistics

The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Remember that the raw number is not the only important part, we would also measure statistical significance. Online, offline or nonline. The result?

Metrics

Metrics KPI Analytics Key Performance Indicator

Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

MAY 8, 2019

They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. As the O’Reilly surveys and other recent reports have demonstrated, the state of “Product Management for AI” is still barely even evolved to a primordial soup stage.

Machine Learning

Machine Learning Data Science Modeling Visualization

Data Leaders Brief

The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Themes and Conferences per Pacoid, Episode 9

Webinars

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