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 14th of November, the Committee held its third meeting.
FP&A Insights
FP&A Insights is a collection of useful case studies from leading international companies and thought leadership insights from FP&A experts. We aim to help you keep track of the best practices in modern FP&A, recognise changes in the ever-evolving world of financial planning and analysis and be well equipped to deal with them.
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By Mohammed Hussain, Finance Manager at Builder.AI
Mohammed is an advocate for clean financial modelling and process automation. His key function is "modern" problem solving by blending traditional Excel techniques with BI as a visualisation tool. He strives to produce models that are transparent and easily understood by the end user. This is achieved through efficient Workbook and Worksheet design, and VBA.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
Following on from the success of the 7th London FP&A Circle, I had the pleasure of attending the 21st London FP&A Board which shares the latest professional trends and developments with the UK FP&A community, open exclusively by invitation to senior finance practitioners.
Mature driver-based planning models are an essential component of effective rolling forecast processes in complex, global organizations. They provide the foundation for profitable growth by enabling strategy and cost structures to quickly self adjust to changing business objectives and market conditions.