Driver-based Modeling Driver-based modeling presents major advantages when budgeting, forecasting, and running scenario analysis. A driver-based model allows you to test out individual assumptions and see how minor (or major) changes may affect your business. Further, a driver-based model allows for more detailed variance analysis and dynamic forecasting. For instance, if you are a hotelier and your hotel’s occupancy changes, then you would expect variable expenses such as housekeeping to change. A great driver of expense in this scenario would be rooms occupied. If your occupancy changes, then the difference in rooms occupied times the cost per housekeeping clean is the amount of variance you would expect to see at month-end. How do you build a driver-based model? First, identify the cost and revenue drivers in your business. What data can you get ahold of, and what impact does that data have on your business. While initial drivers may be statistics captured as part of your mont
As FP&A professionals, we’re tasked with relating the story of the business to the numbers in the P&L. Often, however, the story has many twists and turns that can be hard to break down. Seeing average cost per unit rising drastically over a short period of time can be alarming, but breaking it into the component (i.e. rate, volume, mix, etc.) can help us understand whether the change is a matter of poor management or favorable shift in business volume. One of my favorite ways to present variance analysis is by breaking the variances down to their components – or drivers. For instance, in a manufacturing scenario, your drivers of expense might be wages & benefits, material costs, and hours worked. I’ve broken such a scenario down for you below which can explain the approach. In this scenario, a manufacturer ran production for an order of one of its products Budget Production Cost $73,000 Actual Production Cost $71,100 Cost Higher/(Lower) ($1,900) On the surface, p