There is a point in education when the problem changes. At first, the difficulty is not knowing enough. Later, it is having more available knowledge than you can use. Fifty things on the reading list. Several definitions of the same term. Three plausible arguments. Another lecture, another paper, another footnote.
Creativity is not freedom from technique. Watch an experienced teacher in a Sassoon cutting class. The student has come to improve her craft, yet remarkably few decisions are hers. The model is chosen. The geometry is agreed. The hair is sectioned. Then, at the first irreversible moment, the teacher makes
Great organisations don't scale experts. They scale the accumulated judgement of experts. There is a small detail about Wagamama that explains more about the company than it first appears to. The tables are numbered the same way in every restaurant. A waiter arriving from another branch does not
Before judgement can be practised, perception has to be trained. You cannot choose well among differences you cannot yet see. Watch an apprentice tailor and something initially seems backwards. The master makes nearly all the important decisions. He chooses the garment. He marks the cloth. He decides where the buttonholes
Most organisations measure innovation by what it produces. A feature. A patent. A prototype. Occasionally—if fortune smiles—an entirely new business. Those are the visible returns. They are not the principal one. The real product of innovation is someone who becomes better at exploring uncertainty. Ideas age. Technology dates.
There comes a stage in almost every career when being difficult to replace feels rather like success. You become the only person who understands the ageing database, the financial model with seventeen hidden tabs, or the VBA macro everyone else is slightly afraid to open. Before long, someone calls it
Success creates opportunities. Leadership curates them. The better an organization becomes, the more possibilities appear. Customers reveal unmet needs. Technology opens new doors. A conversation sparks an unexpected insight. Before long, there is more worth doing than anyone can possibly do well. The best leaders possess two qualities that seem
Strategy is less about predicting the future than building an organization that learns faster than the future changes. Most organizations mistake strategy for prediction. They assume the winner will be the one who sees the future most clearly. History rarely belongs to those who wait for certainty. It usually favours
A committee sits for ten hours. Months of analysis have been distilled into a deck. Most of it survives perhaps ten minutes of discussion. Someone remarks that there is too much information. Someone proposes a dashboard. By the following quarter, analysts are explaining the dashboard and engineers are tending to
"It has been a problem for six months. What's another three?" Organizations scrutinize the cost of acting and largely ignore the cost of waiting. Action carries visible consequences: budgets spent, reputations exposed, decisions attached to names. Delay feels prudent because its costs are dispersed and difficult
We are instinctively drawn to clearer pictures. We polish spectacles, redraw maps and reconcile accounts to the last decimal place, comforted by the thought that a more faithful description of reality must lead to better decisions. Sometimes it does. A navigator benefits from a more accurate chart because he can
A child dreams of an Olympic podium. Another, a Nobel Prize. Another, an Oscar. We understand instinctively what precedes such moments: years of practice, failure, repetition, and adaptation. Yet when pursuing our own ambitions, we often imagine progress comes from finding better answers. More often, it comes from asking better
Leadership
The organisations with the strongest data cultures are often the ones talking least about data. Consider an elite athlete. Improvement rarely arrives in dramatic leaps. It begins with a tiny observation: a runner notices she is two seconds slower than yesterday; a swimmer feels slightly more resistance in the water;
Leadership
Most discussions of competitive advantage focus on what a company has. History suggests a different question: What do other companies not yet understand? Advantage comes from asymmetry. Once something is widely recognized as valuable, capital flows in, talent follows, best practices spread, and the advantage begins to disappear. Technology provides
Strategy
Enterprise architects worry endlessly about vendor lock-in. The concern is understandable. Buy a software platform and you become dependent on another company's roadmap, pricing, and priorities. Build it yourself and, at least in theory, you remain free. It is a comforting idea. It is also where the
Strategy
Large organisations often treat data quality as though it were synonymous with data value. Quality does not create value. It magnifies it. Consider contact records, company information, or organisational hierarchies. If a vendor can sell you a cleaner version next Tuesday, its value is bounded by the price of a
Innovation
Watch what happens in most meetings. The first idea is almost never the best idea. Yet it is often the most important. Not because it is correct. Quite the opposite. It is incomplete. It gives everyone else something to push against. This is one of the peculiar things about how
Technology
For most of history, knowledge was hard to find. It lived in libraries, universities, professions, and experts. Access was uneven. Those who knew more often had an advantage over those who knew less. Artificial intelligence changes that. For the first time, expertise is becoming widely accessible. A question that once
Leadership
Adding capable people ought to accelerate progress. Yet organisations frequently discover the reverse. The first few hires add momentum. The next few create leverage. Then, almost imperceptibly, a growing proportion of effort is devoted not to the work itself but to explaining, coordinating, negotiating, and administering it. Capability accumulates. Progress
Innovation
Imagine two companies making the same mistake. The first discovers it after three weeks. The second discovers it after three years. The mistake is identical. Yet one survives and the other may not. Why? Because mistakes have a peculiar property. They grow while nobody is looking at them. A product
Strategy
Every generation believes its defining technology changes the rules of business. Usually, it changes the tools. Today it's AI. Before that it was social media, mobile, the internet, and the personal computer. Each expanded what organizations could do. None changed what organizations ultimately depend on. Every business is
Technology
We often talk about data as if it ages like food. Fresh data is valuable. Old data is stale. But that analogy breaks down surprisingly quickly. Nobody looks at fifty-year-old census records and calls them stale. Economists routinely analyse data collected decades ago. In many cases, its value
Value
Most data strategies fail for the same reason cities go bankrupt: they try to govern everything. Somewhere, a well-meaning data owner is responsible for 4,000 attributes. Each has a definition, lineage and quality score. The effort is impressive. The economics are less clear. Finance offers a useful clue.