This year’s FP&A Trends Survey, which has taken responses from 383 finance practitioners across diverse industries and regions, looks in depth at the ways FP&A supports data-led decision-making in the current dynamic landscape as well as the future developments that need to be implemented.

In this two-part series of articles, the author shows you how to improve forecasting accuracy using a manufacturing organisation as an example.

How can we ensure forecasts produced by different business units are combined into one single consistent and comprehensive exercise? In this article, the author describes a new forecasting method which can help us achieve organisational forecasting consistency.

So, as a business professional, how can you evaluate the process(es) put in place in your company (or group of companies) and potentially evolve it in a way that effectively permits you to create value for your business(es)? Find the answer in this article.

In this uncertain environment, FP&A professionals need to reconsider their approaches to forecasting and revenue management. It is very important to incorporate Machine Learning into these finance processes.

This paper covers the findings of our sixth annual FP&A Trends Survey, where we share the trends and challenges facing FP&A departments around the world. The survey was performed at a time where organisations were looking to recover from the pandemic when many were trying to figure out how to operate in a changed business world.