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Playing with Fire

Playing with Fire

The best way to create the risk dice is with a triangle distribution. Determine three data points: the best case outcome, the worst case and the most likely case. Assume the best and worst cases have low probabilities and the most likely case is somewhere in between.

How to Do Decision Tree Analysis

The other major risk analysis methodology applicable to IT project portfolio management is decision tree analysis. Where Monte Carlo excels at shaping what happens when many risks are in play at once (such as launching an ERP project), a decision tree proves most useful at mapping either-or situations and the sequential risks that follow each decision (for example, either I build a new factory or retrofit an old one). Each choice is a branch with an attached probability, derived the same way all risks are derived - through brainstorming and research. Each branch leads to other branches, which are the risks that result from choosing the original branch.

The key to analysing decision trees is knowing that the probabilities compound. This is why Waste Management's Rogers likes them. Decision trees often show that good risk decisions are counterintuitive, if you follow the branches. "I'll give some outlandish choice, like rewiring your office or building a new one," Rogers says. "Everyone thinks they know which is less risky, but you watch the risks compound over time and guess what, it's not nearly as risky as you think to build a new office in certain situations."

Decision trees are also powerful presentation tools for executives, as long as you don't drop an entire tree on the CEO. They can be unwieldy. They branch out quickly with thousands of potential paths. A CIO must keep them under control. To demonstrate the path of certain decisions, limit the branches to only the most important risks, and simply leave out remote risks.

Final Analysis

Risk analysis takes some getting used to. Anyone not steeped in this world may misinterpret the results of any given analysis. For example, if you say there's a 90 per cent chance it will rain tomorrow, and the day ends up being sunny, your analysis still may have been perfect. There was, after all, a one in 10 chance the sun would shine, and indeed it did.

The hardest part of risk, especially for CIOs, is that it doesn't provide concrete answers. Risk analysis will not tell you which project to do. It will tell you which ones fall into a certain level of risk and payoff. Provide the same IT portfolio and the same risk analysis to Rogers of Waste Management and Lynn Caddell, CIO of Yellow Freight, and they will most likely choose a different set of projects to pursue.

"We're not real risk-averse right now," Rogers notes. "If they're handled right, we're ready to take some risks."

On the other hand, Caddell's current crusade is to ensure timely delivery of projects, and she's not eager to take on anything that might compromise that mission. "Last year we were 96 per cent on time with projects, and I attribute that to risk management," she says.

Ultimately, the CIO must understand his enterprise's culture and know which risks are worth taking. No amount of risk analysis will lift the decision-making burden from the CIO's shoulders or ensure the success of any project. Risk analysis is a tool, not a substitute for leadership. After all, it takes a leader to understand that although there's no such thing as a sure bet, decisions must be made.

"In these matters, the only certainty is that nothing is certain," famously noted Pliny the Elder, who, incidentally, died from ash inhalation in 79 AD, when the volcano Mount Vesuvius erupted.

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