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.

At the recent Digital FP&A Circle, Tanja Schlesinger, VP OneSource Data & Analytics, Data & AI Officer at DB Regio AG, and Frankfurt FP&A Board Ambassador, shared how FP&A is moving beyond ERP and Excel to AI-driven insights, using three fuels: reliable data, clear processes, and change management. 

In this article, discover how strategic data harvesting transforms FP&A by improving forecasting accuracy, decision-making, and organisational agility through AI, data analytics, and cross-functional alignment.

This year’s FP&A Trends Survey draws on responses from 459 finance professionals across industries and regions and dives into the core elements that define modern Financial Planning and Analysis — from Integrated Financial Planning and Analysis and Scenario Management to data, technology, and team capabilities.

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.

Integrating non-financial and financial data empowers FP&A teams to unlock predictive insights and elevate their strategic impact.