Posts

Showing posts from November, 2024

Data-Driven Case Study : Barnes & Noble

Image
Barnes & Noble's beginnings can be traced to 1873 Today's post is inspired by an article I read about the recent resurgence of Barnes & Noble, the iconic American bookstore chain. As a bookworm, I found the story especially appealing. Back in secondary school, I used to imagine working in a bookstore or a library during summer vacation, surrounded by shelves of book. It seemed like a dream job. Barnes & Noble originally set itself apart with vast, well-stocked stores and an enormous selection of titles. This approach attracted a steady stream of customers and fueled the company’s rapid expansion. But then Amazon arrived, making it possible to order a book with a few clicks and have it delivered to your doorstep. The shift to online shopping left many of Barnes & Noble's stores eerily empty. Enter James Daunt, the managing director of Waterstones, the largest bookseller in the United Kingdom. Tasked with turning Barnes & Noble around, he brought a fresh p

The Algorithm : Musk's Mental Framework

Image
A Decision Tree Today’s post is inspired by Elon Musk, the captivating biography by Walter Isaacson. At 688 pages, it’s a deep dive into the mind and methods of one of the most transformative figures of our time. Over the past two weeks, I’ve spent my early mornings absorbing Musk’s journey—and it’s left me contemplating the driving force behind his success.  What is the “algorithm” that powers his extraordinary ventures? Though his leadership style is unconventional, it’s undeniably effective. Musk has co-founded revolutionary companies like PayPal, SpaceX, and Tesla, each of which has disrupted its industry and pushed boundaries.  But what makes him tick? What’s the underlying formula behind his ability to juggle ambitious goals, relentless innovation, and transformative leadership? The Algorithm: Musk's Mental Framework As detailed in Isaacson’s biography, Musk often speaks of a personal algorithm—a mental framework that guides his decision-making process.  The algorithm consist