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.

In this article, the author outlines why we have to move beyond Excel and what benefits the new tech stack may bring us to allow for real-time planning, better insights, and enhanced collaboration with modern tools.