If you work in analytics long enough, you’ll recognise this scene. You’re halfway through presenting a dashboard to stakeholders. The story is flowing well. People look engaged. Someone even leans forward — always a good sign. Then a hand goes up. “Just a quick question…”(Of course it’s never just  a quick question.) You begin answering. You talk about the data. Then the filter logic. Then the campaign period. Then the customer segment. Something about seasonality. A side not

How Hidden Forces Derail Good Presentations — and What To Do About It Before you even reach the recommendation slide, you can usually sense it — that subtle shift in the room. The story is flowing, the audience is following… until the first objection surfaces. Then another. And suddenly, the narrative you crafted so carefully begins to wobble. Every data storyteller has lived this moment, even when the story was strong. 1. You Thought the Story Was Landing. Then It Didn’t. Yo

Productivity is one of the most hotly debated topics in Singapore.Whether we’re discussing competitiveness, wages, or the future of work, productivity becomes the centre of every conversation. Yet beneath these discussions lies a subtle but dangerous trap: Different datasets use different definitions — and if we don’t understand what the numbers truly represent, we risk drawing the wrong conclusions. In data analytics, small misunderstandings can lead to: pointless debates mi

When I finished the video, the first feeling wasn’t fear. It wasn’t excitement, either. It was heaviness . Not because Tristan Harris painted a doomsday scenario, but because for the first time, I could feel—viscerally—how fast  everything is moving, and how slow  society is reacting. AI is no longer a tool sitting quietly in the background. It’s accelerating, reshaping jobs, rewriting incentives, and slipping into parts of our lives we rarely think about: childhood, therapy,

(My reflections after watching Tristan Harris on Diary of a CEO) Humanoid robots used to feel like a distant science-fiction idea—something we’d joke about, not something we’d have to plan our lives around. But after watching Tristan Harris explain how fast robotics and AI are converging, I realised this isn’t a “one day” conversation anymore. It’s a “we should probably understand this now” conversation. And frankly, I’m not an expert in AI safety or robotics. I’m just a data

A personal reflection inspired by Tristan Harris on The Diary of a CEO Recently, I clicked on a video I assumed I’d watch for five minutes.Three hours later, I was still glued to my screen. The conversation was between Stephen Bartlett and Tristan Harris , one of the most influential voices in tech ethics. I’m not an engineer, researcher, or policymaker. I’m not an expert in Artificial Intelligence (AI)  — systems designed to perform tasks that normally require human intellig

A Practical Look for Business Leaders, Analysts, and the Simply Curious Ask anyone who’s tried ChatGPT and you’ll eventually hear this line: “Isn’t this just a really smart autocomplete?” It’s a reasonable question. Because on the surface, LLMs do  look like they’re guessing the next word. But if that’s truly all they are, another question naturally follows: Then why does it feel like they can predict our thoughts, not just our sentences? Let’s break this down clearly and hon

How storytelling principles turn pushback into participation Have you ever walked into a meeting with a beautifully cleaned dataset, a logical insight, a carefully built model… only to watch an executive lean back, fold their arms, and say: “Hmm… I don’t think this is quite right.” The moment of tension: data shows one truth, but human reactions tell another. Pushback rarely comes from the numbers — it comes from what the numbers mean . It’s a frustrating moment for any analy

Why You Should Build Your Plan B and C Before You Ever Need Them There was a time when one job, one skill, and one steady path could carry someone through their entire career. You learned your craft, stayed loyal, worked hard, and moved up the ladder. But that world no longer exists. Today, industries transform overnight. Roles are rewritten every quarter. Companies restructure more than they expand. And technology—especially AI—is reshaping work faster than we can fully unde

Averages lie. And worse — they do it politely. The average salary . The average wait time .The average rating . We hear these numbers every day, and they sound reassuring — neat, simple, and definitive. But here’s the uncomfortable truth: the average hides more than it reveals. The Illusion of Simplicity Imagine two cafés in Bangkok. At Café A , everyone waits around 10 minutes for their coffee. At Café B , most customers get theirs in just 3 minutes — except for a few unluc