In this article, senior finance leaders explore how Human–AI Synergy, real FP&A case studies, and the AI Maturity Model are redefining the next phase of FP&A transformation.
Natalia Saukova
Natalia Saukova is a Finance leader with over 20 years of experience. She started her career in management consulting, focusing on ERP implementation, business process improvement, and FP&A methodology development. Transitioning to the FMCG industry, Natalia led finance teams in dynamic environments, handling external market challenges and internal organisational changes. Natalia’s experience covers different countries, bringing expertise in FP&A challenges within various cultures and economic uncertainties. She is known for fostering strong finance-business partnerships and advocating for a constant search for efficiency and continuous improvement. Her approach prioritises both tactical and Strategic Planning, driving sustainable growth.
Author's Articles
Balancing centralised and decentralised FP&A models is key to improving efficiency, collaboration and business agility — learn how to optimise your structure.
The 15th in-person Zurich FP&A Board meeting welcomed 39 FP&A leaders on May 22nd, 2024, to discuss how to create the transformation roadmap with the FP&A Trends Maturity Model.
Maintaining data consistency is crucial for the forecasting process to ensure the accuracy, reliability, and credibility of financial information.
In this article, the author outlines how to mitigate the issues related to data consistency.
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