This week’s edition is all about the next step forward: Extended Planning & Analysis. Beyond tools and processes, we are asking what it really takes to lead planning that is collaborative, agile and deeply connected to the business.
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In this video, Evgenia Elezova, Head of Finance at Lindström, shared how their finance team is transforming, blending technical expertise with communication, influence, and business insight. With a centralised structure and regional focus on Business Partnering, Lindström is progressing through the FP&A Trends Maturity Model. Through the Business Partner Academy, Lindström is building “finance superheroes” equipped to be true co-pilots, not just data providers.
San Francisco FP&A Board #11 explored how senior finance leaders are advancing from traditional methods to Predictive Planning and Forecasting through AI, driver-based models, and dynamic scenario planning.
A CFO shares how to make Extended Planning & Analysis (xP&A) a reality through practical strategies, integration and cross-functional collaboration.
Learn how FP&A teams can transform cash flow forecasting with driver-based models, technology and collaboration to thrive in today’s volatile, high-interest market.
Join the FP&A Trends Webinar on May 28th to explore the crucial role of FP&A Business Partnering in the AI era and its potential to drive strategic success. Participants will gain insights into transforming roles and capabilities, practical implementation steps, and leveraging AI-driven technology to enhance business partnering.
Senior finance leaders at the 12th Dubai FP&A Board explored transformation using the FP&A Trends Maturity Model and Beyond Budgeting to enhance strategic financial planning.
Stop chasing every new AI headline. Focus instead on practical tools that automate finance workflows and drive real FP&A impact.
Check out the recording of the FP&A Trends webinar held on April 2nd to discover the top 5 FP&A trends for 2025 and practical ways to streamline decision-making.
AI technologies are reshaping FP&A with better forecasting, automation, and data accuracy — but trust and adoption remain key challenges.
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