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 data generation system provides for generating domain-specific, context-sensitive data collections as synthetic data for testing the performance of data processing systems. Within the data generation system, a composition module defines a data generation template containing a plurality of fields each capable of holding one or more values according to specifications defined for predetermined data types. An evaluation module sorts the fields in an order of dependency so that fields whose values affect the values in other of the fields are ordered before the fields whose values are affected by values in other fields. A data generation module populates the fields with values and retrieves a subset of the values populating the plurality of fields for generating each of a plurality of data sets, which are written into memory and made accessible for use in testing data processing systems.

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 data generation system provides for generating domain-specific, context-sensitive data collections as synthetic data for testing the performance of data processing systems. Within the data generation system, a composition module defines a data generation template containing a plurality of fields each capable of holding one or more values according to specifications defined for predetermined data types. An evaluation module sorts the fields in an order of dependency so that fields whose values affect the values in other of the fields are ordered before the fields whose values are affected by values in other fields. A data generation module populates the fields with values and retrieves a subset of the values populating the plurality of fields for generating each of a plurality of data sets, which are written into memory and made accessible for use in testing data processing systems.

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.