Forecasting with ML and deep learning allows you to justify budget allocations based on company performance, understand reasons for growth or decline, and plan for future growth. But how do we make sure we achieve these outcomes?

In an uncertain world, plans with a single focus are no longer sufficient. Management needs to constantly scan the business environment, assess what lies beyond the ‘span of predictability’, and be prepared for a multitude of realities.

What are the best practices in building Driver-Based Financial models? How do we identify internal and external drivers, and use technology for integration and collaboration?

In this video, we learn how A.P. Moller – Maersk Group made the transition from traditional budgeting to Rolling Forecasting.

Unlike traditional management methods, Financial Planning and Analysis solutions are a new way to manage your business rationally. With the FP&A systems in place, business processes become more accurate and agile, preparing your company for the challenges and uncertainties of today's economic climate.

I hope to show the analytical power that is now available to the FP&A practitioner and how it can drive business change in a structured manner; a method that involves considerably less effort than I had to apply all those years ago.