2009, Data Collection, Interactive 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

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Use of influence functions goes back to the 1970s in robust statistics. That seems much more robust.

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

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