This article delves into the importance of data management in forecasting, data accuracy and completeness, common mistakes companies make, transformative opportunities presented by next-generation Artificial Intelligence (AI), and the role of the CFO in this process.
In this article, the author explores the benefits and potential challenges of AI-powered models and techniques for enhancing our forecasting, exemplifying his observations with a case from his experience.
This article covers some author's key forecasting learnings from the perspective of an FP&A professional and outlines how to potentially apply them to other online marketplaces.
In this article, the author outlines how implementing Predictive Planning and Forecasting can help FP&A professionals increase the value they add to their organisations. Moreover, we discuss how to overcome crucial challenges on the way to this approach.
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.