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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 […]

Improving Forecasting Through Ensembles

There’s this wonderful article I want to share on building prediction models using ensembles. “Ensembles” in this case simply means the combination of two or more prediction models. I’d personally had great success bringing several (relatively) poorly performing models together into one ensemble model, with prediction accuracy far greater than […]