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. 

Discover how AI/ML in FP&A is transforming forecasting, automation, and decision-making through quality data and advanced analytics.

I hope to show the analytical power that is now available to the FP&A practitioner and how it can drive business change in a structured manner; a method that involves considerably less effort than I had to apply all those years ago.

I was recently invited to join FP&A-Trends’ Artificial Intelligence/Machine Learning (AI/ML) Committee by Larysa Melnychuk, managing director. This blog is based on a case study presented at the June 2018 meeting.

This is the first part of a three-part series on the business value that data science and analytics can provide to enterprises.

In this article, the author explores top 3 impacts of AI & ML on FP&A people, processes and value.