The Toronto FP&A Board was established on the 19th of June 2018 as an educational and networking platform for the local FP&A community.
Since then, 146 members, representing leading global and local companies such as Microsoft, Siemens Building Technologies Canada, Omnicom Media Group, Bayer, Sanofi, AstraZeneca Canada, Nestlé, Walmart Canada, Ericsson, and many others joined this think-tank. Together, we explore the best way to address the challenges in the FP&A community in the 21st century.
During the meetings, we guide the development and promotion of best practices in global FP&A, identify and support new trends, skillsets and innovations. The speakers from Microsoft, Knix, Stewart Title, Kruger Products L.P., and others presented their insights and case studies.
Wendy leads companies through important financial challenges by bringing thoughtful, analytical, and bold options to the...
Jennifer has spent many years in senior FP&A roles working for large public and private organisations...
FP&A Board future meetings
FP&A Board previous meetings
Insights from Toronto FP&A Board: Mastering Predictive Planning & Forecasting
Predictive Planning and Forecasting is redefining FP&A by blending statistical rigour, AI and business insight to improve accuracy, agility and decision-making in complex environments.
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Navigating FP&A Transformation with the FP&A Trends Maturity Model: Insights from Toronto FP&A Board
On March 7th, 2024, the 8th in-person gathering of senior finance professionals took place in Toronto. We explored creating a transformation
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Toronto FP&A Board: Storytelling in a Data-Driven World
On October 17, 2023, the 7th Toronto FP&A Board Meeting brought 25 finance professionals from such companies as League, Mondelez, Lightbox, Red Bull
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Toronto FP&A Board: Insights on Leveraging Five Crucial FP&A Roles
FP&A professionals gathered in the cozy premises of SPACES venue on June 13th, 2023, to discuss the essentials of building the best-in-class
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Toronto FP&A Board: The Transition from Traditional FP&A to xP&A
Each scenario has several different pathways and many different outcomes. How do you choose? What do you choose? How many iterations of good, better
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