Abstract: A data management apparatus and a data management system include a relative time conversion unit which, for a purchase history of a model customer who has achieved a higher rank by satisfying a predetermined condition, takes the time the rank was achieved as a reference time and converts times in each purchase history to relative times and which, for a purchase history of a target customer who has not attained the rank, takes the time when an analysis target is designated as a reference time, and converts times in each purchase history to relative times, and a behavior history analysis unit which determines whether a behavior history of the target customer is included in a behavior history of the model customer, based on each relative time of the behavior history and each relative time of the behavior history with which each purchase history of the target customer has been associated.

Abstract: The execution of a process is analyzed by a data processing method using a data analysis device for processing a job by combining the processes of transforming input data and generating output data. The execution history of the process is recorded, and each time the process is executed, it is determined whether the process execution has a high anomaly probability based on a predetermined determination indicator. Upon determining that the process execution has a high anomaly probability, the process log information of the process including the determination indicator is recorded, and based on the process log information and the process execution history, the process with the high anomaly probability is further analyzed. By determining whether the process is anomalous or not, the process history analysis information including the analysis result and the execution history of the process to be analyzed is generated.

Abstract: The execution of a process is analyzed by a data processing method using a data analysis device for processing a job by combining the processes of transforming an input data and generating an output data. The execution history of the process is recorded, and each time the process is executed, it is determined whether the process execution is high in anomaly probability based on a determination indicator defined in advance. Upon determination that the process execution is high in anomaly probability, the process log information of the process including the determination indicator is recorded, and based on the process log information and the process execution history, the process high in anomaly probability is further analyzed, By determining whether the process to be analyzed is anomalous or not, the process history analysis information including the analysis result and the execution history of the process to be analyzed is generated.