Abstract: A method, system and computer program for quality management of a plurality of documents associated with a data-processing operation of an organization is provided. The documents include several fields, the organization has employees, and the method comprises determination of error rates. Errors are reduced in the plurality of documents by focusing on critical fields. The occurrence of errors is predicted by determining a correlation between the errors and a set of attributes, which is updated. Reducing and predicting errors control the error rate. A method for measuring the quality of a plurality of documents is also provided. The measurement is based on the relative operational impact of the errors and the frequency of errors associated with each field.

Abstract: Various embodiments of the invention provide methods and systems for automated quality management and/or monitoring of organization operations, including for example data processing operations. In one aspect of the invention, a quality management system uses an error rate measurement module to automatically monitor the quality of an organizational operation. Information is processed by the organizational operation. The error rate measurement module samples the processed information. It also automatically determines, without human intervention, an error rate based on the sampled information. The error rate accounts for both a frequency of errors and an operational impact of errors.

Abstract: Various embodiments of the invention provide systems and methods for estimating a frequency of errors for data processing operators, but without human inspection of documents typed by the operators and without comparing documents typed by the operators against known transcriptions.

Abstract: Methods and systems for improving a data processing operation based on operator-specific quality management and/or monitoring. For example, operator-specific frequency of errors, error rates, error patterns and/or root causes may be identified. Operator-specific actions may then be taken based on these.

Abstract: Methods and systems for automated quality management and/or monitoring of a data processing operation, including identifying root causes for errors, identifying which errors are likely to have root causes, predicting errors, and predicting increases in errors.

Abstract: Methods and systems for automated assessment of the operational risk for an organization based on sampling the operations of the organization. These approaches can be used for automated comparison of the operational risk of two or more organizational operations.

Abstract: A method, system and computer program for quality management of a plurality of documents associated with a data-processing operation of an organization is provided. The documents include several fields, the organization has employees, and the method comprises determination of error rates. Errors are reduced in the plurality of documents by focusing on critical fields. The occurrence of errors is predicted by determining a correlation between the errors and a set of attributes, which is updated. Reducing and predicting errors control the error rate. A method for measuring the quality of a plurality of documents is also provided. The measurement is based on the relative operational impact of the errors and the frequency of errors associated with each field.

Abstract: Methods and systems for identifying critical fields in documents, for example so that quality improvement efforts can be prioritized on the critical fields. One aspect of the invention concerns a method for improving quality of a data processing operation in a plurality of documents. A set of documents is sampled. An error rate for fields in the documents is estimated based on the sampling. Critical fields are identified based on which fields have error rates higher than a threshold.

Abstract: A method, system and computer program for quality management of a plurality of documents associated with a data-processing operation of an organization is provided. The documents include several fields, the organization has employees, and the method comprises determination of error rates. Errors are reduced in the plurality of documents by focusing on critical fields. The occurrence of errors is predicted by determining a correlation between the errors and a set of attributes, which is updated. Reducing and predicting errors control the error rate. A method for measuring the quality of a plurality of documents is also provided. The measurement is based on the relative operational impact of the errors and the frequency of errors associated with each field.

Abstract: A method, system and computer program for quality management of a plurality of documents associated with a data-processing operation of an organization is provided. The documents include several fields, the organization has employees, and the method comprises determination of error rates. Errors are reduced in the plurality of documents by focusing on critical fields. The occurrence of errors is predicted by determining a correlation between the errors and a set of attributes, which is updated. Reducing and predicting errors control the error rate. A method for measuring the quality of a plurality of documents is also provided. The measurement is based on the relative operational impact of the errors and the frequency of errors associated with each field.