Method for evaluating data of a printing machine

A computer-implemented method for detecting and analyzing data of a printing machine during or after a production for the evaluation and for the productivity optimization, wherein a defined number of printed products with at least one specified target printing technology value are produced by the printing machine during at least one print job, wherein one or several actual machine data and/or one or several actual printing technology values and/or one or several production data and/or one or several machine interference signals and/or at least one control signal and/or at least one operating signal are detected and/or stored over a period of time by a computing device (20) across at least a portion of the at least one print job, characterized in that the one or several actual machine data are stored and/or saved during the production of printed products of the at least one print job as one or several actual production data, and one or several standard machine values are formed as a function of the production data and/or for comparable production data by using artificial intelligence from the actual production data for at least one time span of a defined minimum duration of an at least disruption-free production.