1. 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 outlier results: for both datasets the greatest number of plays in the past D days is in a category C, for predetermined values of D, C; for both datasets the greatest number of plays in the past D days is in a category C, for values of D, C determined at least in part by comparing at least a portion of the first dataset with at least a portion of the second dataset; both datasets have goods in categories C1 and C2 and no goods in category C3, for predetermined values of C1, C2, C3; both datasets have goods in categories C1 and C2 and no goods in category C3, for values of C1, C2, C3 determined at least in part by comparing at least a portion of the first dataset with at least a portion of the second dataset; both datasets have goods in category C1 but no playlist containing any goods in category C1, for a predetermined value of C1; both datasets have goods in category C1 but no playlist containing any goods in category C1, for a value of C1 determined at least in part by comparing at least a portion of the first dataset with at least a portion of the second dataset.
1. 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 outlier results: for both datasets the greatest number of plays in the past D days is in a category C, for predetermined values of D, C; for both datasets the greatest number of plays in the past D days is in a category C, for values of D, C determined at least in part by comparing at least a portion of the first dataset with at least a portion of the second dataset; both datasets have goods in categories C1 and C2 and no goods in category C3, for predetermined values of C1, C2, C3; both datasets have goods in categories C1 and C2 and no goods in category C3, for values of C1, C2, C3 determined at least in part by comparing at least a portion of the first dataset with at least a portion of the second dataset; both datasets have goods in category C1 but no playlist containing any goods in category C1, for a predetermined value of C1; both datasets have goods in category C1 but no playlist containing any goods in category C1, for a value of C1 determined at least in part by comparing at least a portion of the first dataset with at least a portion of the second dataset. 10. The configured medium of claim 1 , 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.