On 3 December, we had an interesting debate on why extended planning and analysis (xP&A) is playing an increasingly important role in finance. Senior finance professionals from Deutsche Bahn, Jedox and Microsoft shared their views on the subject.
In his 26-minute presentation, Paul Ashley Head of Applications, Lloyds Development Capital Limited, explained how the company has successfully implemented a digitised approach to business partnering, financial forecasting, and the private equity valuation process.
Computer simulations allow us to play out various scenarios repeatedly and assess the outcomes. It is also true for computer simulations that are used in finance. Through scenario analysis, we can gain some comfort and assurance that the decision taken is the right one given the circumstances. However, there are a few considerations with the use of artificial intelligence (AI).
FP&A Digitalisation was discussed at several FP&A Boards in the past but the recent mindset shift has changed the perspective. It went from anxiety before the implementation to peace of mind in fully controlling the processes and confidence in the quality of provided FP&A insights.
This article summarises the presentations and discussions during the recent Digital FP&A Circle on how artificial intelligence (AI) and machine learning (ML) has reduced the process burden, increased the speed to insights, and ultimately supported improved decision-making at Konica Minolta and Amazon.
Scenario planning came to the forefront and even these had to be quick, flexible, and adaptable. Our six panel members took us through how they had to adapt and change system and processes for the “New Normal”.