11. A computer-readable non-transitory storage medium configured with data and with instructions that when executed by at least one processor in a cloud computing environment and/or a cloud storage environment causes the processor(s) to perform a process for digital good library comparison, the process comprising: obtaining a first dataset, namely, first electronic organizational data and first electronic history data associated with a first library of digital goods; obtaining a second dataset, namely, second electronic organizational data and second electronic history data associated with a second library of digital goods; automatically comparing at least a portion of the first dataset with at least a portion of the second dataset; reporting at least one of the following results: a shared multiple natural languages presence, a shared genre frequency change, a shared artist frequency change, a shared digital good frequency change, a shared outlier presence, a shared recommendable goods presence; and wherein the process operates in a cloud computing environment and/or a cloud storage environment to perform at least one of the obtaining, comparing, or reporting steps, and the process reports at least one of the following shared recommendable goods presence results: at least a specified percent of library entries in one dataset support a recommendation of library entry(ies) in the other dataset under an automated recommendation system, wherein the specified percent is a predetermined percent; at least a specified percent of library entries in one dataset support a recommendation of library entry(ies) in the other dataset under an automated recommendation system, wherein the specified percent is determined at least in part by comparing at least a portion of the first dataset with at least a portion of the second dataset; at least a specified number of library entries in one dataset support a recommendation of library entry(ies) in the other dataset under an automated recommendation system, wherein the specified number is a predetermined number; at least a specified number of library entries in one dataset support a recommendation of library entry(ies) in the other dataset under an automated recommendation system, wherein the specified number is determined at least in part by comparing at least a portion of the first dataset with at least a portion of the second dataset.
20. The configured medium of claim 11 , wherein the process further comprises automatically comparing at least a portion of the first dataset with at least respective portions of additional datasets in a group of datasets, the second dataset being a member of the group of datasets.