In my last blog, I promised to give you some tips about how to introduce some Beyond Budgeting ideas into your business to help make it more flexible and reduce the gaming behaviour associated with the budgeting game. Traditional budgeting has three major weaknesses:

In the last blog, I described how it is possible to implement Beyond Budgeting in a step-by-step fashion. If you choose to go down this route you will become increasingly uncomfortably aware of a disconnect between Beyond Budgeting style processes and the rules and routines that govern normal business life in a traditional organisation. In the brave new world I have described, senior managers perched high in the organisational pyramid can no longer use targets and incentives to remotely control the activities of their subordinates and measurement systems no longer highlight deviations from pre agreed plans and budgets and trigger ‘corrective action’.  Resources are allocated continuously and an annual set piece planning ritual cannot effectively coordinate activities in an organisation that is continuously adapting to events.

Analytic models are rarely static. Their aim is to model the organisation in such a way as to allow managers to investigate what is actually going on and to assess changes to the way it operates.

FP&A practitioners rely on raw materials, i.e. data, to conduct their work. In order to conduct their work a variety of data types should be utilized. There are three types of data that FP&A practitioners should utilize. The first type of data is financial numbers. Financial numbers must be utilized due to the goal of FP&A. The goal of FP&A is to assess whether wealth is or will be created based on decisions within businesses. These decisions can be assessed through elements within financial statements.  Income, stockholders’ equity, and cash are the elements most commonly used to assess wealth. These elements are expressed through financial numbers so it seems foolish to describe their importance but it is necessary to do so. This is due to the role of other data types.