We’ve built a world that worships prediction. Every boardroom wants its own crystal ball, and data science promised to deliver exactly that. Feed enough information into the right algorithms, the thinking goes, and you’ll know what customers want before they do, which products will succeed, and where your next opportunity lies. It’s a seductive vision. […]
Why Data Science Isn’t Enough: The Case for Operations Research Read More »
We spend enormous energy trying to hire the right people, but we rarely ask why some combinations of right people produce magic while others produce meetings that should have been emails. The corporate world loves the metaphor of chemistry. We talk about team chemistry the way sports commentators discuss championship rosters. But unlike sports, where
Everyone tells you to innovate or die. Disrupt or be disrupted. Move fast and break things. The business world has become a breathless race toward novelty, where companies scramble to be first with the newest feature, the boldest pivot, the most radical reimagining of their industry. But here’s what nobody wants to admit: most winners
There’s something almost insulting about the Ansoff Matrix. Here’s this tidy little two by two grid, invented in 1957, claiming to capture every possible way a business can expand. Four boxes. That’s it. Your entire growth strategy, distilled into a framework so simple you could sketch it on a napkin during lunch. And yet, like
Your CRM system probably knows more about your customers than you do. It remembers every email they opened, every page they visited, every time they downloaded a white paper at 2 AM. It tracks their job changes, their company’s funding rounds, and that time they attended your webinar but left after twelve minutes. The question
The spreadsheet looks perfect. Every assumption documented, every variable accounted for, sensitivities mapped across three scenarios: base, upside, downside. The presentation flows like water. Your boss nods approvingly. And yet, somewhere in your gut, you know you’ve just spent two weeks building an elaborate monument to what everyone already wanted to hear. This is the
Are You Modeling Reality, or Just Your Boss’s Expectations? (Scenario Analysis) Read More »
We celebrate data literacy programs in organizations the way Victorian families celebrated pianos in their parlors. Everyone agrees they should be there. Everyone nods approvingly at their presence. But when it comes time to actually use them, most people would rather be anywhere else. The uncomfortable truth is that data literacy initiatives fail not because
Data Literacy is a Myth if Your Leadership is Math Phobic Read More »
Nobody wants to be the weatherman predicting storms. Yet in business, someone has to stand up and say the ship is headed toward rough waters. The question isn’t whether bad news needs delivering. It’s how you deliver it so people actually listen, understand, and most importantly, act. Data changes everything about this ancient human problem.
How to Deliver Bad News: Using Data to Forecast a Downward Trend Read More »
Every company claims to be data culture driven. It’s become the corporate equivalent of saying you enjoy long walks on the beach. Everyone nods along, but what does it actually mean when the conference room doors close and real decisions need making? The truth is messier and more interesting than the buzzwords suggest. Companies don’t
The 4 Archetypes of Data Culture: Which One is Your Company? Read More »
Warren Buffett talks about moats in business. He means the competitive advantages that keep rivals at bay, the things that make a company hard to copy or compete with. The metaphor works because medieval castles with moats were annoying to attack. You could see the castle, you knew what it was, but getting there meant
How to Build a “Moat” Around Your Content Strategy Read More »