In this video, we dive deeper into a case study featured by Alex Beired, Global Director of FP&A at Guardian Industries, where Alex covers several questions about driver-based planning and FP&A transformation.

The modern Financial Planning and Analysis (FP&A) function has an important role to play in enhancing decisions through the power of predictive analytics and driver-based modelling.

Drivers are the catalysts to initiatives. But which ones are the most important? And how to deal with challenges that come with driver based planning?

When creating a driver-based model, it is important to produce one that is not overly detailed or complex but one that is accurate and actionable. Avoid complexity by adding variables if they do not provide analytical benefit. Starting with the chart of accounts is not a good idea. The model should focus on key performance drivers. 

When I first came across the term driver based planning and forecasting I was confused. As an ex-investment banker having joined a Finance team the concept of drivers when talking about a forecast or plan was simply assumptions. Why was it not called just that? Assumptions! Investment bankers have been building models with assumptions ever since the first model was built and a corporate transaction was negotiated.

We are entering the era of digital FP&A where human and artificial intelligence work hand in hand in order to achieve better analytical results. The new world of FP&A requires on-demand continuous planning process where various business scenarios can be played almost in real-time. Both driver-based planning and FP&A predictive analytics are essential tools for implementing flexible dynamic planning and forecasting process.