Research for this paper focused on delving deeper into the most mature level – Level 5, Leading State. The purpose was to provide a road map for FP&A Intelligent Transformation that guides departments in how best they can serve their organisations.

In this video, Frances de Blasio, VP of Finance at Cars.com and a Member of FP&A Trends Chicago Board, shares her view on the importance of predictive analytics in FP&A and explains the necessity of investing in team intelligence.

In this short video, the Head of FP&A and M&A at Lonza, Patric Somlo, shares how his organisation transformed its planning process by using Predictive Analytics.

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?

With technology developing at breakneck speed, it is no wonder that FP&A teams around the world are beginning to capitalise on innovative modern tools. In particular, planning processes have been transformed by the implementation of Artificial Intelligence (AI), Machine Learning (ML) and Predictive Analytics.

In this uncertain, technology-driven world, surveys conducted by the FP&A Trends Group and not only have identified three trends shaping FP&A Technology in 2022: Predictive and Prescriptive Analytics, Driver Based Planning (DBP) and Integrated Analytic Platforms.