1. A method comprising: receiving, by a computer system comprising computer hardware, an identity of a metric of interest and a future time point; retrieving, by the computer system, a prediction configuration previously associated with the metric of interest, the prediction configuration comprising a period combination; wherein the period combination comprises a plurality of time periods, each time period comprises one or more segments, and each segment of the one or more segments comprises adapted historical values of the metric of interest incrementally inserted therein; for each time period of the plurality of time periods: the computer system identifying, for the future time point, a corresponding segment of the one or more segments; accessing, by the computer system, a set of adapted historical values from the corresponding segment; and computing, by the computer system, an intermediate predicted value from the set of adapted historical values, the computing comprising: testing for a trend in the set of adapted historical values; based on a result of the testing, determining whether the set of adapted historical values satisfies criteria for performing linear regression; responsive to a determination that the set of adapted historical values satisfies the criteria for performing linear regression, computing the intermediate predicated value using linear regression; and responsive to a determination that the set of adapted historical values does not satisfy the criteria for performing linear regression, computing the intermediate predicted value based on an average of the set of adapted historical values; and calculating, by the computer system, a predicted value for the metric of interest based on the computed intermediate predicted value.