Planners and managers in supply chain organizations are accustomed to using the Mean Absolute Percentage Error (MAPE) as their best (and sometimes only) answer to measuring forecast accuracy. It is so ubiquitous that it is hardly questioned.
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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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Future coordination is a brainer - not a no-brainer. Combining the Now and the Future requires a well-prepared FP&A team. AI as Robotic Process Automation (RPA) can support with the “no-brainers”. Looking ahead requires diligence and thinking time, which RPA can provide space for. Also, computer algorithms prescribe to keep exploring for future gains. This includes looking to the Arts and the Artificial Intelligence developments.
How can an FP&A practitioner assess the effectiveness of financial reporting processes? This article describes five tips that could be used in order to establish a starting point in the process.
There is no point on aimlessly analysing data in the hope that something will jump out at you. It won’t and all that you will do is waste vast quantities of time and effort. Like any search, there must be an objective and a plan to reach that objective. This is where a mature approach to analytics comes in. The author reveals a mature approach to data analysis that includes 4 stages.
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