The webinar is proudly sponsored by:
The 2023 FP&A Trends Survey reveals a persistent imbalance in FP&A practices: 45% of efforts are consumed by low-value tasks such as data collection and validation, with only a third allocated to strategic activities. This stagnant ratio over the past five years signals an urgent need for transformative change.
Crafted over eight years by thousands of global senior practitioners and supported by thorough research, the FP&A Trends Maturity Model stands as a definitive benchmark for evaluating and enhancing FP&A practices. This model offers a custom roadmap for analytical transformation, incorporating a balanced approach essential for success.
Join the FP&A Trends Webinar on the 12th of June for expert insights and actionable recommendations on navigating Intelligent Transformation with the FP&A Trends Maturity Model. Learn from an expert panel of finance practitioners sharing their experiences.
Can't make it live? No problem — register to receive the recording and presentation materials afterwards.
The Panel:
- Pieter van Loosbroek, Global Process Lead FP&A at The HEINEKEN Company, Amsterdam FP&A Board member
- Aurelien Nolf, VP, Head of FP&A at Lyft, San Francisco FP&A Board member
- Jan Hill, Business Transformation Advisory at Pigment
- Hans Gobin, FP&A Leader and International FP&A Board Ambassador (Discussion Facilitator)
Mastering Analytical Transformation with FP&A Trends Maturity Model
3:00 PM - 4:00 PM BST
4:00 PM - 5:00 PM CEST
10:00 AM - 11:00 AM EDT
(the registration link will convert the time to your time zone)
- FP&A Trends Maturity Model: General Overview
- Mastering Transformation - A Case Study at Heineken
- Lyft FP&A Transformation Journey
- The Significance of Technology in Driving Intelligent Transformation
- Conclusions & recommendation
- Q&A Session
The webinar is complimentary, vendor-agnostic, and exclusive to finance practitioners only.
Participation is subject to the FP&A Trends Group Terms and Conditions and Privacy Policy.
We will not be able to confirm places for the registrations with missing or incorrect details.