Imagine that you need to manage your personal finances, but there are two constraints in how you’re able to go about it, specifically:
With this as the setting, let’s look at some specifics regarding your financial management situation:
The bottom line is that, in general, you and your spouse try to be smart about your finances. You work hard, are reasonably careful with your spending, and you seek financial advice from professionals. These actions mean that you’re more likely to be in a better place financially when it comes to retirement than if you quit your job and spent money like a drunken sailor. In other words, your intelligent actions imply a better outcome than if you were less intelligent about it, but you aren’t able to measure progress (or lack thereof) explicitly toward a goal that isn’t explicitly defined.
Implicit financial management like this isn’t necessarily bad. Certainly it’s better than taking actions that increase the odds of a poor outcome. But assumptions abound regarding whether you’re doing enough or too much. You’re essentially ungrounded – a ship sailing without a compass or a view of the night sky.
Besides the obvious challenges of not really knowing where your finances stand relative to your objective (or even what your objective really looks like), did you catch the other more subtle problem? The same qualitative values are used for discrete transactions (e.g., paychecks and expenses) and for big picture conditions (e.g., the amount in savings and the retirement goal). Clearly however, a Medium paycheck is not the same thing as having a Medium amount in your savings account.
Given the above, I doubt there’s much more I need to say about what this means from a risk management perspective. Suffice it to say that following what are perceived to be intelligent risk management practices increases the odds that your organization will be in a better place risk-wise than if you didn’t. The limitations of this approach are, however, glaringly obvious. Managing risk explicitly using quantitative measurements can provide a much clearer understanding of your organization’s objectives, where it stands relative to those objectives, and how specific decisions affect attaining its objectives.