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Less insight, more value

One of the things that I get asked a lot at work is to create a reports, run an analysis, or get some data so we can get visibility on XYZ, normally as a result of a question asked by a HiPPO (highest paid person in the office) because they […]

Making algorithms more human

Applying uncertainty

I once wrote about one of the dangers of machine learning algorithms (e.g. the thing that powers the rules behind which many decisions are made in the real world): the closed feedback loop. An algorithm that falls into one of these closed feedback loops starts to lose its ability to […]

Getting Excited About Small Data

The next few quarters for analytics in my company are, from my perspective, going to be game-changing, and I’m excited to say my team’s taking the lead on it: from machine learning and advanced visualisations to new ways of thinking about data, we’re currently taking the steps to get to […]

The need for theory in prediction models

I’d like to share this wonderful quip by philosopher Robert Long, that was quoted in the (also insightful and actually pretty good) book A Richer Life by Philip Roscoe: Let’s say that in early 2001 I formulate a theory to the effect that there is a Constant Tolkienian Force in the Universe […]

What you do determines what you see

Author’s note: This post was originally titled “Déformation Professionnelle”, but I had trouble understanding it myself and have renamed it for easier future reference! This post in three words: Profession -> Perception -> Truth The following text is taken from the excellent book The Art of Thinking Clearly, by Rolf […]

Business Experimentation

Imagine for a moment that you want to implement a new sales initiative that you think will transform your business. The problem is, you’re not too sure if it’d work. You decide, prudently, that maybe a pilot test would be good: let’s roll out the initiative to just a small […]