Data is the new currency for companies of all sizes and industries.
Cultural change on FP&A is inevitable. As the world evolves, our cultural norms on business evolve too. The best way is to catch up with the speed of this daily evolving change is through scientific thinking. Now for our profession, data is the lowest meaningful element, such as an atom in a living organism. The advantage will favour the teams who will understand that indisputable fact and, we will witness the process closely in the future.
The financial planning and analysis (FP&A) storyteller has emerged as one of the five critical roles within the FP&A function. In a data-driven world, the volume of data that exists is exponentially increasing. Equally, the time available for managers to process insights from this data is decreasing. Therefore, the requirement that these insights be taken and used to drive leadership decisions has never been greater.
There has never been greater uncertainty and a faster pace of change than over the past months.
And yet, at a time that requires speed and agility, and in a function that needs these qualities more than others, we cleave to our traditional management accounting methods and adhere to our longstanding processes.
The result is this paper that covers the elements crucial for any organisation approaching AI or ML for the first time including challenges, methods and key success factors.
Over the years, the challenges faced by management have required different planning approaches and techniques. Some have stayed and become ‘the norm’, for example, driver-based planning.