Abstract: A second synthetic dataset is generated having internal consistencies with a previously generated first synthetic dataset. The synthetic data of the second dataset can be generated based on a set of rules loaded into a computer data generator for defining entities and interrelationships among events associated with the entities consistent with at least some of the rules previously used for generating the first synthetic dataset. Entities and historical information about the entities within a first observation spanning a first time period can be derived from the first synthetic dataset stored in a computer-readable memory. A second observation window can be established spanning a second time period that is different from the first time period.

Abstract: A method using integrated software and algorithms for measuring, modeling, benchmarking and validating any Enterprise Content management system, forms processing data capture system or data entry system, including, at the user's option, ingest of special engineered test materials such as a Digital Test Deck®, applying data quality scoring algorithms, use of cost models, validation of downstream business processes, and implementing statistical process control.

Abstract: A method using integrated software and algorithms for measuring, modeling, benchmarking and validating any Enterprise Content management system, forms processing data capture system or data entry system, including, at the user's option, ingest of special engineered test materials such as a Digital Test Deck®, applying data quality scoring algorithms, use of cost models, validation of downstream business processes, and implementing statistical process control.

Abstract: A method using integrated software and algorithms for measuring, modeling, benchmarking and validating any Enterprise Content management system, forms processing data capture system or data entry system, including, at the user's option, ingest of special engineered test materials such as a Digital Test Deck®, applying data quality scoring algorithms, use of cost models, validation of downstream business processes, and implementing statistical process control.

Abstract: A method using integrated software and algorithms for measuring, modeling, benchmarking and validating any Enterprise Content management system, forms processing data capture system or data entry system, including, at the user's option, ingest of special engineered test materials such as a Digital Test Deck®, applying data quality scoring algorithms, use of cost models, validation of downstream business processes, and implementing statistical process control.

Abstract: A method for integrated or Web based statistical process control of a data capture/data entry system we call AIMED@Q SPC™ (“Automatic Integration and Management of Enterprise Data Quality—Statistical Process Control”). Test images of machine print, handprint, or cursive writing, created through Digital Test Deck® technology or other methods, are injected into current workflows and keyed by Data Entry operators. Keyer results are quickly and cost-effectively compared to a perfectly known truth file corresponding to the test images. Reporting and analysis may be performed on single events or over time, at single or multiple locations.