Abstract: A system stores report descriptors. The report descriptors are used in sections of reports. The reports include a report type and subject. The system generates a pseudo random number seed for use in selecting a first subset of the report descriptors for the reports on a first report subject, and stores the pseudo random number seed. The system retrieves the first subset of report descriptors for the reports on the first report subject based on the pseudo random number seed and subsequently generated random numbers, places the retrieved first subset of report descriptors into an XML string, and generates two or more reports relating to the first report subject using the first subset of report descriptors in the XML string. The two or more reports include at least two different report types, and each common section among the two or more reports includes the same report descriptors.

Abstract: A system stores report descriptors. The report descriptors are used in sections of reports. The reports include a report type and subject. The system generates a pseudo random number seed for use in selecting a first subset of the report descriptors for the reports on a first report subject, and stores the pseudo random number seed. The system retrieves the first subset of report descriptors for the reports on the first report subject based on the pseudo random number seed and subsequently generated random numbers, places the retrieved first subset of report descriptors into an XML string, and generates two or more reports relating to the first report subject using the first subset of report descriptors in the XML string. The two or more reports include at least two different report types, and each common section among the two or more reports includes the same report descriptors.

Abstract: A computer system receives data relating to a plurality of persons. The persons are employed in the same occupation. A portion of the persons is top performers in the occupation, and a portion of the persons is bottom performers in the occupation. The data relates to personal traits and performance traits. The data is input into a software-based neural network, and the neural network generates models for the personal traits as a function of the personal traits and the performance traits of the top performers. The neural network further generates a performance model, which is made up of the models. The performance model is configured to determine that a particular person will likely be a top performer in the occupation.