In this article, the author exemplifies why Artificial Intelligence is insufficient for analysing the data and providing insights. He illustrates it by giving an example of Simpson's Paradox, which AI could not handle without human input.
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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This article provides a working model for businesses eager to transform a typical volume-intensive, cost-focused Shared Service Centre into a value-oriented COE. It also provides the reader with a detailed overview of the differences between these notions, a practical example of such a project and critical factors to consider before driving this transformation.
This article outlines how an organisation could create a data-driven planning architecture and practical steps to foster the transition to data-driven insights.
The bullwhip effect is a significant concern for many manufacturers, distributors, and retailers, as it deals with fluctuations when one moves up the supply chain. In this article, the author outlines what it is and how FP&A teams can reduce the negative impact of this effect.
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