In this article, learn how FP&A teams can turn marginal revenue and cost data into actionable business insights by segmenting growth drivers and talent investments for smarter decision-making.

In this article, the author explains how FP&A teams can use the FAIR data management framework to make high-quality data truly usable, shareable, and ready for analytics and AI.

In this article, you’ll discover how the CACTUS Data Quality Framework helps FP&A teams build trust in their data and strengthen analytics and AI performance.

In this article, discover how FP&A can achieve data mastery by transforming low-value data tasks into strategic, driver-based insights that power agile forecasting and better business decisions.

In an era of data overload and fast-evolving digital tools, traditional FP&A methods are no longer sufficient. This Insights Paper offers a practical roadmap for Analytical Transformation, showing how to harness data more effectively, implement modern analytics platforms, and build a culture where insights drive decision-making. Drawing on a decade of global research and real-world case studies, it explores why transformation efforts often stall — and how to make them succeed.

A strong data strategy is crucial for FP&A teams to ensure accurate, timely and meaningful insights, enabling better decision-making and strategic alignment.