This paper evaluates the transition process, and the challenges organisations may encounter when embracing the Scenario Management ecosystem, with a particular focus on the practical steps involved.

This paper explores the What, Why, and How of Intelligent Transformation, emphasising three interpersonal dimensions in the FP&A Trends Maturity Model.

Our research paper explores the combination of PA with xP&A and how organisations are using this combination to transform their planning and forecasting processes to create a more analytical and harmonised approach.

The findings from this research provide insights in explaining the Strategy-Execution Gap and, more importantly, how to close the gap using modern FP&A techniques, processes, and technology.

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.

This paper, based on our interviews with 25 top FP&A practitioners and thought leaders along with case studies from the largest global network of FP&A people, captures the best practices and new ideas coming out of this fast-growing area.

This research paper supports FP&A leaders in progressively improving their FP&A maturity.

The result is this paper that covers the elements crucial for any organisation approaching AI or ML for the first time including challenges, methods and key success factors.