Statistical approaches to forecasting can provide a framework for creating rolling budgets to which analytical skills and judgment can be applied in supporting a sound budgeting process.
Many millions of people are stuck with the habit of smoking. They know its bad for them and it will eventually kill them, yet they continue.
While FP&A professionals work in a field of numbers, language is a critical component of our profession. Far too often there is loose use of terminology in corporate finance.
In this article, I want to make the case for data-driven planning to describe the 7 key FP&A models that every organisation needs to plan, resource and monitor business performance. From a planning and review perspective, there are 7 key things that management needs to know about its business processes, each of which can be assessed in a range of analytical models.
By Karl Kern, Accountant / Lecturer / Writer
Karl Kern has a BBA degree in Accounting from Temple University, and an MBA degree with a concentration in Finance from Babson College. After graduating from Temple University Karl started a career where he has established a reputation as a problem solver. Karl’s reputation as a problem solver is based on his ability to create as well as implement initiatives that have helped organizations increase revenues, decrease expenses, and improve cash flows.Prediction is an important work that FP&A practitioners do. This work has many challenges. One way to address these challenges is by maximizing the positive. There are three steps in maximizing the positive.
Although there are some substantial differences between Financial Modelling and Predictive Analytics, both help us cope with uncertainties and make better decisions.