elitefts™ Sunday Edition Strategy, Systems, and Decisions
Strategy. If this word is uttered in a boardroom by a CEO, everyone nods furiously in agreement with whatever the ultimate man-in-charge blathers. Throw it out in a meeting room full of middle-management types on one of the lower floors of the building and everyone will do their best to out-quote McKinsey Quarterly in a feeble attempt to sound smart. Around the water cooler, it is used by lowly analysts to smugly deride senior management for being old and out of touch. No other concept is used so pervasively and perversely with so little factual support than the ‘S’ word. Mostly because strategies are big behemoths that, barring a risky and abrupt repositioning, take much effort over many moons to shift and are very difficult to clearly establish cause and effect as to their correctness. At the end of the day, business cycles, macro-economic trends, and socio-political happenstances lay waste to the best of strategies and make millionaires out of idiots who ended up in the right place at the right time- with a boat that rose with the tide around them. In my opinion, the best one can do is to create a quantitatively-focused decision support capability to help choose strategies and projects that provide the highest probability of positioning the company for success. The theory being that, over time, your portfolio of decisions should yield superior results. I cringe when I hear the old standby that a something can’t be quantified because it is strategic. What beautiful logic– the strategy is strategic and needs no justification. This is an absurd crutch used by people who don’t understand what they are doing. Everything can be quantified. The question only becomes to what degree of certainty. The spread of that confidence interval will depend on how well, either through research or experience, the person proposing said strategy understands the underlying system in play. In large corporations, big-dollar decisions are typically supported by estimated returns on investment put forth by a financial analysis function. Unfortunately for many corporations, financial analysis exists primarily to provide variance analyses of historical events and does not spend nearly enough time focused on understanding, quantifying, and explaining potential future occurrences. Explaining the past is easy. Understanding risks and rewards in the future is where great companies make better decisions and gain competitive advantages.
System, for me, is a key concept here (and I’m not talking about computer programs – think of it as a business ecosystem). When trying to determine whether a project or strategy is sound, I try to put the decision in context of a system and capture the quantitative impact of everything in that system. Let’s say someone wants to implement a growth strategy to build a manufacturing plant and enter a new market. In order to quantify the investment returns, we must define the system in the status quo (current state), and then capture all relevant impacts the new investment would have as it disrupts that system (future state). First and foremost, you would be introducing new supply. If new volumes are significant relative to the existing market, the supply/demand curves will find a new equilibrium point, driving down prices. You could also be driving up the price of your inputs, as your new purchases strain the availability of raw materials. This might cause competitors to act. Customers may enter or leave. Governments could intervene. Locusts and hailstorms could disrupt shipping lanes. This is where many analysts and decision-makers fail. They fail to understand the system and how it will react when you introduce change. Margins are assumed to hold constant, costs remain status quo, competitor supply does not change, etc. Think of it as a big dumb guy who has never been in a fight, other than in his head where he always dominates his adversary. When he finally does get into a scrap, he quickly realizes that the opponent doesn’t just sit back and gladly receive punches to the face. In the real world, competitors fight back and will pummel you if you are not able to anticipate those reactions. I like to view each system as containing a multitude of potential events, each having its own influence on the future state. Actions and reactions represented by dozens or hundreds of statistical distribution curves floating around in space. Through financial modeling and scenario analysis, I try to identify which of these distributions will have the greatest impact on success or failure. I then narrow the analysis to the handful of uncertain scenarios that will truly move the needle. This allows efforts to be focused appropriately and avoid paralysis by analysis that happens when decisions are tough and people claim that quantification is impossible. In the end, the will of the probability gods shall come to pass. The job of a decision-maker is to consistently make decisions that have the greatest chance of succeeding. Success or failure should not be defined by any one decision. Over time, a pattern will develop across a portfolio of projects and determine the truly good, bad, and ugly.



















































































