The new xP&A world is much more connected than before with the ability to assess the component of risk management, multiple scenarios, modulations, and simulations. All of them are integrated and require a much closer approach to the business intelligence range of new skillsets.
Some people believe that Artificial Intelligence (AI) will eventually replace humans within FP&A. Thought leaders and experienced AI users feel that this is completely wrong. For AI to be effective, it needs to be combined with human intelligence (HI).
Transformation and new ways of working – the buzzwords that you hear a lot these days applied to business or IT functions. Are these concepts also suitable for finance, and especially finance in a stock listed large corporation? This article will describe this transformation and also outline the main success factors.
Our business environment is changing dramatically. Smart devices, smart offices, autonomous vehicles are boosting and creating avalanches of data every day. Big data will benefit a business. It enables business with greater insights and new opportunities, but only if you are able to manage it well.
By gaining a deep understanding of the key performance drivers outside of finance, and by expanding its field of prescriptive action into all functions across the enterprise, FP&A can move the next level up and transform itself into an extended Finance & Analysis (xP&A) organisation. This article explores why many of us still think in silos and reasons why traditional business controlling should evolve into extended planning and analysis (xP&A).
Successful implementation of an FP&A software requires clarity on the selected tools, delivery methodology and business benefits that the solution aims to deliver. The six considerations set out below aim to improve success for FP&A implementation.