I read an article from some scientist who was very much against masks and the belief that they helped prevent the spread of Covid-19. His argument was that masks didn't do anything, and were more of a comfort blanket. They were something governments mandated to show that they were "doing something". The Covid-19 virus, according... Continue Reading →
I agree with Richard H. Thaler and Cass R. Sunstein, the authors of Nudge: Improving Decisions About Health, Wealth, and Happiness, who argue that products and systems, especially those with which people interact to make decision, ought to be designed to nudge them in the direction of what best serves their true interests. Few, S.... Continue Reading →
Just the other day over coffee a colleague of mine told me about a fascinating video he'd seen. It was about a psychological experiment that showed just how much of a mindless, conforming species we were. 100% emotional; 0% rational. Just part of the herd. Though I'd seen similar ones before, this was one particularly... Continue Reading →
The meeting was a day away, and I wasn't sure what to expect. The way things were going, I felt that it was going to be a controversial one. And despite my knowing the material well, there were gaps in my knowledge that I knew could be pried on. These were areas that I wasn't... Continue Reading →
I've been thinking about this question for a long time now: how do we balance the need for agility in working with data and the need for proper governance around the said data? For those with no idea what I'm talking about, here's a great summary of the conundrum I've found no answers for: [F]rom... Continue Reading →
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 were "curious". To these people... Continue Reading →
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 learn from more data, since... Continue Reading →
As I listened to the speaker of the webinar, a man who had tons of Sales Operations experience, something gnawed at me - something about what he was saying felt incongruent, felt wrong, but I didn't just couldn't put my finger on it. I took notes, and then started connecting the dots. And before long... Continue Reading →
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 what I call "the next... Continue Reading →
I shared this earlier on LinkedIn, but thought that it was worth sharing it here too as a reminder to myself: Six Myths of Product Development I came across the article above while researching why a team that traditionally does great work may sometimes stumble (yes, mine). The past few weeks had been a whirlwind... Continue Reading →
Donn, fragments 