Abstract: A Record Linkage Production Data Quality (RLPDQ) tool provides an independent record linkage system producing comparative results with a production record linkage system and an efficient arbitration operation to resolve respective confusion matrices for the two systems. The tool can be used for enhancing the output of record linkage engines, for merging different files into a third file containing expanded descriptions of common entities in both files, and for making testable improvements to a record linkage engine.

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: Production data classified from a data source, such as a plurality of handprinted forms, is compared to provisional truth data independently classified from the same data source for constructing master truth data. The production data is compared to the master truth data for evaluating the quality with which the production data was classified.

Abstract: A system and method for creating one of a plurality of test decks to qualify and test forms processing systems, including preparing a handprint snippet data base containing labeled handprint image snippets representing a unique hand, preparing a form description file and a data content file, selecting handprint snippets from the handprint snippet data base to formulate a form using the data content file, creating a form image using the selected snippets according to the form description file and printing the form image.

Abstract: A system and method for creating one of a plurality of test decks to qualify and test forms processing systems, including preparing a handprint snippet data base containing labeled handprint image snippets representing a unique hand, preparing a form description file and a data content file, selecting handprint snippets from the handprint snippet data base to formulate a form using the data content file, creating a form image using the selected snippets according to the form description file and printing the form image.

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: Production data classified from a data source, such as a plurality of handprinted forms, is compared to provisional truth data independently classified from the same data source for constructing master truth data. The production data is compared to the master truth data for evaluating the quality with which the production data was classified.

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 system and method for automatically creating a digital test materials to qualify and test forms processing systems, including preparing a handprint snippet database containing labeled handprint image snippets representing a unique human hand, preparing a form description file and a data content file, selecting handprint snippets from the handprint snippet data base to formulate a form using the data content file, creating a form image using the selected snippets according to the form description file, and, if desired, printing the form image.

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.

Abstract: A system and method for creating a test deck to qualify and test forms processing systems, including preparing a handprint snippet data base containing labeled handprint image snippets representing a unique hand, preparing a form description file and a data content file, selecting handprint snippets from the handprint snippet data base to formulate a form using the data content file, creating a form image using the selected snippets according to the form description file and printing the form image.