This article discusses how FP&A teams can help our organisations measure information that balances the trade-offs between profitability and innovation. The author tells us how to achieve the Bush-Vail balance when building an FP&A department.
In this article, the author examines the FP&A's role in helping businesses win by measuring financial data and explores what should be measured. He also suggests how FP&A can help management balance the tug-of-war between profitability and innovation.
In this article, the author compares a business story with a sports game, revealing that we cannot tell the same story to different data users. He also outlines the 8-step approach for converting your ambiguous spreadsheet into a story.
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.
This article discusses how to provide information in a way that facilitates strategic thinking, using the five common skills for building a winning FP&A team.
By designing activities that lead to scale, we can achieve the necessary returns to capital and simultaneously create re-investment in the business that results in more fantastic career paths for employees. Financial planning and analysis professionals need to understand scaling to help with strategic recommendations to leaders.
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Author's Articles
This article discusses how FP&A teams can help our organisations measure information that balances the trade-offs between profitability and innovation. The author tells us how to achieve the Bush-Vail balance when building an FP&A department.
In this article, the author examines the FP&A's role in helping businesses win by measuring financial data and explores what should be measured. He also suggests how FP&A can help management balance the tug-of-war between profitability and innovation.
In this article, the author compares a business story with a sports game, revealing that we cannot tell the same story to different data users. He also outlines the 8-step approach for converting your ambiguous spreadsheet into a story.
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.