In this issue of our newsletter, we shed light on the transformative potential of Scenario Planning in Financial Planning & Analysis. Included below is a selection of articles and short videos that explore the advantages and strategies of FP&A Scenario Planning, along with a valuable eBook resource that delves into the profound impact of this technique.

The Amsterdam FP&A Board met on Tuesday, 9 May 2023. Senior FP&A practitioners from diverse sectors attended it to discuss Moving from FP&A to Extended Planning and Analysis (xP&A). This article covers the key takeaways from this meeting.

In this article, the author explains the challenge of translating the impact of business activities or initiatives devised after the planning cycle. This article provides a comprehensive view of mitigating it in the post-planning part of the cycle with the FP&A team’s involvement and applying Driver-Based Planning.

In this video, Charles Peter, Finance Director Global sales, marketing and operations at Microsoft, shares his experience of planning and forecasting optimisation and outlines Microsoft's journey to simplification.

Join the face-to-face Stockholm FP&A Board on September 19 and discuss the evolution of financial planning and analysis (FP&A) to extended planning and analysis (xP&A). 

The 9^th in-person Brussels FP&A Board met on the 11^th of May 2023 at the beautiful Spaces Manhattan Center in Brussels to discuss the evolution from Financial Planning and Analysis (FP&A) to Extended Planning and Analysis (xP&A).

The Frankfurt FP&A Board Members met on the 17^th of May, 2023, to discuss the most critical steps on the journey to Extended Planning and Analysis (xP&A).

Munich FP&A Board Feedback Form - 12 Nov 2024

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In this article, the author explores the benefits of Predictive Planning and Forecasting and outlines how businesses can implement this approach successfully, referring to her practical experience at Novartis.

Takeshi Murakami, Group Controller at Microsoft, shared an interesting case study on leveraging AI/ML in decision-making.