Many organizations still struggle with data quality and timeliness, with 35% citing these issues as the biggest barriers to data-driven decision-making in the 2024 FP&A Trends Survey. This paper explores how to master data and analytics in Financial Planning & Analysis, deploy analytics technology, and foster a culture of analytics-informed decisions.
In this article, the author shares a few practical strategies for implementing AI and data science in FP&A and reveals how modern AI tools can enhance organisational productivity.
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 explains three key strategies for fostering a data-driven culture in your organisation: data literacy training, advanced tool proficiency, and user-friendly data products.
This article explores the roles of Human Intelligence and AI in FP&A, supported by findings from the 2024 FP&A Trends Survey and insights from the AI/ML FP&A Committee.
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.