Remove 2006 Remove Data-driven Remove Measurement Remove Metrics
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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

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Excellent Analytics Tip #27: Chase Smart Calculated Metrics!

Occam's Razor

The specific metric I've been mad about since day one of this blog ( May 14th, 2006! ) It is measured as Orders/Visits. [Or, Metrics create incentives, bad metrics create bad incentives. While this is a great lesson in the power of defining metrics optimally, why bring this up, one more time, today?

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What’s the Difference: Quantitative vs Qualitative Data

Alation

Companies collect and analyze vast amounts of data to make informed business decisions. From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. So what are the key differences, and what should data users know about them?

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Best Web Metrics / KPIs for a Small, Medium or Large Sized Business

Occam's Razor

We have access to more data than God wants anyone to have. Thus it is not surprising that we feel overwhelmed, and rather than being data driven we just get paralyzed. In fact a data driven life is sexiest digital life you can imagine. Recommend metrics / KPIs you can use based on the size of your company.

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