The below article summarises an approach developed throughout the years of my work and explores ways to fully integrate FP&A with other divisions and remove barriers in cooperation. 

We live in a Digital World today, with nearly everything interconnected with each other. Yet many individuals, companies and organisations seek their own ways and explore how to leverage data in the area of Financial Planning and Analysis.

The concepts of artificial intelligence (AI) and machine learning (ML) are not new. They are relatively new to Finance and FP&A leaders, and that means many may have an aversion to leaning more about and leveraging them in delivering value from FP&A. 

Spreadsheets are a great tool to build and maintain ad-hoc calculations, quickly draft a business plan and create good-looking reports. But when it comes to planning and budgeting in a complex business environment the flexibility of spreadsheets is often quick to become an obstacle instead of an asset in your planning process.

The Global Artificial Intelligence / Machine Learning FP&A Committee was created in March 2018 with the aim to see how the latest developments in those technologies can influence modern Financial Planning and Analytics. On the 14^th of November, the Committee held its third meeting. 

The 18th London FP&A Board gathered on 21 November 2017 to discuss FP&A Transformation through Organisational Structure.

On the 26th of June 2018, the London FP&A Board held its 20th meeting with an interesting debate on FP&A Team Building. 

Disclaimer: Financial Modelling has no strict “right” or “wrong” method of application. It does, however, have forms of best practice and this what this article attempts to highlight

The fourth Zurich FP&A Board gathered on 5 October 2017 to discuss Rolling Forecast Philosophy.

The second Zurich FP&A Board gathered on 25 January 2017 to discuss FP&A Analytical Transformation.