Remove 2011 Remove Analytics Remove Experimentation Remove Reporting
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

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. This thought was in my mind as I was reading Lean Analytics a new book by my friend Alistair Croll and his collaborator Benjamin Yoskovitz. But it is not routine.

Metrics 156
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Search: Not Provided: What Remains, Keyword Data Options, the Future

Occam's Razor

In late 2011, Google announced an effort to make search behavior more secure. Following revelations of NSA activities via Mr. Snowden, Google has now switched almost all users to secure search, resulting in even more user search queries showing up as not provided in all web analytics tools. No keyword data in analytics tools.

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What Is Model Risk Management and How is it Supported by Enterprise MLOps?

Domino Data Lab

It was first defined by the US Federal Reserve and Office of the Comptroller of the Currency ( SR 11-7 ) in April 2011. The process of doing data science is about learning from experimentation failures, but inadvertent errors can create enormous risks in model implementation. Model implementation.

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Six Nudges: Creating A Sense Of Urgency For Higher Conversion Rates!

Occam's Razor

Bonus: The best computation of conversion rate is orders divided by users (the default in your analytics tool is sessions). Go to the Multi-Channel Funnels folder in Google analytics and look at two other yummy reports: Time Lag and Path Length. They report two dimensions of speed: How long does it take for a human to convert?

Strategy 124
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Smarter Survey Results and Impact: Abandon the Asker-Puker Model!

Occam's Razor

The post is also sourced from a recent edition of my newsletter, The Marketing – Analytics Intersect. I've added new insights, recommendations, and two bonus lessons on how to do surveys better and a direct challenge to your company's current analytics strategy. The World Needs Reporting Squirrels. I heart you.

Modeling 127
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Unintentional data

The Unofficial Google Data Science Blog

This post describes the analytical issues which arise in such a setting, and what the data scientist can do about them. We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected.

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How To Suck At Social Media: An Indispensable Guide For Businesses

Occam's Razor

In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. And, through experimentation, what is it that they want on Facebook… Content perfectly targeted at their audience, in the above case to try and provide value to help them do their jobs better. Success Metrics.

B2B 167