In the second part of this series, the author discusses three components that rely heavily on an accurate Balance Sheet (BS): the Return on Capital Employed (ROCE), the Working Capital and Cash Flow. He tells us how these components may impact forecasting accuracy.

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.