The rigid nature of static forecast models means they can quickly become out of date. This leads to missed goals and may encourage sandbagging and other bad habits. Not to mention, keeping forecasts up-to-date requires professionals like you to spend too much time manually updating information, in large spreadsheets, which can be tedious and error prone.
However, developing an active forecast model is more likely to deliver the transparent and relevant information needed to accurately predict financial outcomes. Join this program as we discuss tips for developing forecast models, including: