article thumbnail

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

Occam's Razor

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. In this post, we’ll look at each of the four steps in the Lean Analytics Cycle in more detail. Let’s look at some case studies that will really help to drive the Lean Analytics Cycle home.

Metrics 156
article thumbnail

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.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

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.

article thumbnail

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. This will bring your conversion rate up (yea!!). Big opportunity. You should.

Strategy 124
article thumbnail

Welcome to the Era of the Augmented Marketer

Sisense

Marketing technology tools (also referred to as MarTech tools) have multiplied from about 150 in 2011 to around 8,000 today, a 5,233% increase that sends a clear message: Marketers are embracing digital assistance and data/analytics. We know in marketing that one of the most powerful ideas is experimentation,” Scott told Sisense.

article thumbnail

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. Hypothesis development and design of experimentation.

Modeling 127
article thumbnail

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.