On the 21st of September, 2023, Copenhagen welcomed senior FP&A professionals to discuss transitioning from traditional FP&A to Extended Planning and Analysis (xP&A).

We have to overcome many obstacles to foster a data-driven culture in our organisations. That is why let us keep on exploring the subject of Data-Driven FP&A in this digest issue.

A company must maintain short-term and long-term profitability, especially in uncertain times. This can only be achieved through the integration of profitability across global operations. The author of the article considers how to achieve it and which technology enablers can help us.

In this article, the author outlines her top ten tips to help you enjoy success as an FP&A Business Partner and forge trusted relationships with decision-makers.

In this article, the author, an experienced FP&A veteran, focuses on the seamless integration of supply chain and financial planning. He reveals what we need to do to achieve this kind of integration and which benefits it may bring to organisations.

In this article, the author describes the Systems Thinking approach and shows how it impacted FP&A and Management, referring to his experience in the automotive industry.

This digest issue is devoted to the subject of Data-Driven FP&A. You will find a collection of stories and strategies from experienced finance practitioners and thought leaders on how to shape the future of data-driven decision-making in businesses large and small.

Watch this video in which Nahuel Rozas Delpit shares the three essential steps for overcoming the resistance to change and the top lessons learned for a successful transition to an entirely data-driven organisational culture.

Integrated Business Planning is a complex alignment of people, processes, and technologies that can provide immense value creation for the business and end-user efficiency when brought together under a single unified framework.

There’s no guarantee that current levels of volatility will subside anytime soon, and a majority of organisations are suffering from low planning agility that significantly hinders their ability to take advantage of opportunities or mitigate downside risks. This article reveals the importance of the human-machine learning loop for improving budgeting and forecasting processes.