Predictions 
Planning and Consolidation uses statistical analysis to determine the relationship between a KPI and the other accounts. This is not a time trend of the KPI, but a mathematical analysis of the data to determine what relationships drive the KPI.
Example
Product quality might contribute to the analysis of the customer satisfaction KPI.
Features
Insight calculates predictions based on account correlations derived by one or more specified algorithms. Prediction cannot be calculated from only one account. Insight processes every KPI, identifying relevant accounts and filtering out irrelevant ones based on a specified threshold. When the predicted values are unfavorable compared to the budgeted values, the Predictor icon is displayed next to the corresponding KPI. When you click the icon, the Predictor window is displayed. The Predictor icon only displays when all of the following conditions are met:
There is sufficient historical data for the KPI (by default, six periods of data)
There is sufficient historical data for the correlated accounts (by default, six periods of data)
The predicted value for the next time period is unfavorable
The unfavorable predicted value is beyond the threshold for the KPI, as determined by the specified performance band
You can select up to four algorithms to use to calculate the predicted values. See Key Performance Indicator Algorithms.