Watch the recording of the FP&A Trends Webinar to learn about the latest trends and developments in FP&A based on the global survey results.
There are many terms connected with FP&A, such as “unstructured analysis,” “predictive analytics,” and “machine learning". Often very little detail on how they can be used in everyday life. Sure, there is an odd example such as how the sales of one product in a supermarket are related to another based on their location. But what do these technologies actually do, and how can they help management in today’s fast-moving, complex business environment?
Many companies measure their progress against annual objectives through profit and loss (P&L) reporting and a business performance measurement (BPM) tool. In many cases, this tool is a scorecard summarising the key P&L and balance sheet numbers. Is this enough?
Through the adoption of technology, FP&A teams are able to achieve complete visibility and help guide the company as a whole while assisting each team to optimise performance.
The volume of data is so large and complex that forecasts are often unpredictable: the world is changing faster than managers can anticipate. Managers can no longer rely on traditional monthly reporting of internally generated data to navigate the future. This is where iFP&A comes in.