Budgeting and planning activities within companies are often time-consuming and quickly outdated in their significance. Methods like driver-based planning or even Beyond Budgeting represent attempts to increase efficiency, but the approach remains old-fashioned. However, the developments in the field of AI/ML are now opening up completely new possibilities. In the near future, it will be possible to calculate and compare a wide variety of planning scenarios within minutes.

2020 was a year of major disruptions for the business world. But whether your organisation suffered or thrived, the COVID-19 pandemic was a chance to add value to your business.

Providing decision support on product offerings in an online marketplaces environment requires digging deep on the granularity of the key business drivers to evaluate success. Using a method called “A/B testing” allows an FP&A leader to easily build a framework on key criteria to better understand the various behavioural impacts that consumers apply in different scenarios and to analyse their performance.

The organisation used to spend over 52 weeks on planning, but with an accuracy of only 92% -- low when compared with the resources allocated.

Storytelling is a vital part of FP&A, helping practitioners to extract value from the data.

The CFO at Swiss Railway Freight Logistics (SBB Cargo AG) shares how his own company successfully implemented this agile alternative to traditional budgeting