The McNamara Fallacy and the Cynicism Behind Bad Metrics
The Measurement Minute by Gary Angel Sometimes bad metrics just fool us. But often, the people using them have entirely cynical reasons for glomming onto the really stupid ones. Credit Y...
The College Board’s (SATs) New Adversity Score
The Measurement Minute by Gary Angel The College Board, purveyors of the SAT, recently added a proud new edition to their reporting: the Adversity Score. Reading about how it works put m...
Solving the Display Interaction Problem
The Measurement Minute with Gary Angel Shopper journey measurement is like most analytics. When you start to answer basic questions with the data - deeper ones immediately pop-up. And wi...
The Optical AI Revolution
The Measurement Minute with Gary Angel Store Measurement with camera has been challenged by the cost and the capability to follow shoppers from camera to camera. Edge-based AI coupled wi...
ML Model Coherence
The Measurement Minute by Gary Angel When you use human annotation or data factory techniques to create ML training data, there's always a risk that your training data won't match the re...
Life is Pain
The Measurement Minute with Gary Angel I recently did a series of tweets (then collected them in a blog) highlighting the steps in the enterprise analytics journey from initial attempts ...
Scenes from an Analytics Journey
This past week or so I posted a long series of tweets based on my upcoming presentation at the Marketing Analytics Summit in Las Vegas. #MAS19 bit.ly/MAS19LV The presentation is structur...
From Data Science Studio to Production : A Model’s Journey
The Measurement Minute with Gary Angel If building models is a snap (as per the last Measurement Minute), operationalizing them definitely isn't. In our work, moving models for ML Studio...
Machine Learning: Model building isn’t the hard part
The Measurement Minute with Gary Angel Machine Learning is at the stage just before widespread adoption when lots of potential users are worried about how hard it is. It isn't easy (not ...