ALEXANDRIA, Va., June 10 -- United States Patent no. 12,293,302, issued on May 6, was assigned to SAP SE (Walldorf, Germany).

"Multidimensional hierarchy level recommendation for forecasting models" was invented by Mokrane Amzal (Courbevoie, France).

According to the abstract* released by the U.S. Patent & Trademark Office: "Provided is a system and method for identifying and recommending the best hierarchical levels for training a predictive model such as a time-series forecasting model. In one example, the method may include receiving an identification of a measure of multidimensional data, generating a plurality of training data sets that comprise different combinations of hierarchical dimension granularities of aggregation, training a...