Abstract: An information handling system comprising a data store is configured to store time series data and a processor. The processor is configured to acquire data, the data including time series data, isolate one or more time series from the data, assigning a unique time series identifier to each time series, and storing the time series and the time series identifiers in the data store, forecast additional time points for the one or more time series using a plurality of models, determine a fit statistic for each model for each time series, select a preferred model for each time series based on the fit statistics of the models for the time series, and provide a forecast to a user for each time series.

Abstract: An information handling system comprising a data store is configured to store time series data and a processor. The processor is configured to acquire data, the data including time series data, isolate one or more time series from the data, assigning a unique time series identifier to each time series, and storing the time series and the time series identifiers in the data store, forecast additional time points for the one or more time series using a plurality of models, determine a fit statistic for each model for each time series, select a preferred model for each time series based on the fit statistics of the models for the time series, and provide a forecast to a user for each time series.