Abstract: Operations, such as data processing operations, can be improved by applying clustering and statistical techniques to observed behaviors in the data processing operations.

Abstract: Operations, such as data processing operations, can be improved by applying clustering and statistical techniques to observed behaviors in the data processing operations.

Abstract: Business process providers implement client data processing processes for clients. The business process providers use certain formats (provider formats, defined by provider format fields). The clients use certain formats (client formats, defined by client format fields). A normative format is automatically defined and used as an intermediary between client and provider formats. Mappings between the normative format and the client and provider formats can be generated automatically.

Abstract: A combined computer/human approach is used to detect actionable insights in large data sets. Automated computer analysis used to identify patterns (e.g., possibly meaningful patterns or subsets within the data). These are presented to humans for feedback, where the humans may have little to no training in the statistical methods used to detect actionable insights. Feedback from the humans is used to improve the pattern detection and facilitate the detection of actionable insights.

Abstract: Business process provider(s) process client data. The clients use certain formats (client formats, defined by client format fields). The client format fields instantiated in documents are analyzed. Based on this analysis, the client processes are automatically grouped into different process platforms for processing. For example, similar client processes preferably are grouped together into the same process platform, in order to increase efficiency of processing. In another aspect, the user interfaces used by the business process provider(s) may be constructed from different blocks, where the blocks are automatically defined based on the analysis of client format fields.

Abstract: Business process providers implement client data processing processes for clients. The business process providers use certain formats (provider formats, defined by provider format fields). The clients use certain formats (client formats, defined by client format fields). A normative format is automatically defined and used as an intermediary between client and provider formats. Mappings between the normative format and the client and provider formats can be generated automatically.

Abstract: Operations, such as data processing operations, can be improved by applying clustering and statistical techniques to observed behaviors in the data processing operations.

Abstract: A method, system and computer program product for processing documents containing restricted information. One aspect concerns identifying which sections of a document may be critical, non-critical or possibly critical.

Abstract: A method, system and computer program product for processing documents containing restricted information. One aspect concerns updating the relevant information security rules applicable to the documents.

Abstract: A method, system and computer program product for processing documents containing restricted information. One aspect concerns storing documents in a distributed but secure manner, for example using keysets.

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: A method, system and computer program product for processing documents containing restricted information. The method for processing the documents includes the step of identifying data fields in the document. The method further includes the steps of identifying a critical section(s) containing data corresponding to restricted information, and shuffling this data to create synthesized documents.

Abstract: A method, system and computer program product for processing documents containing restricted information. The method for processing the documents includes the step of identifying data fields in the document. The method further includes the steps of identifying a critical section containing data fields corresponding to restricted information, and dividing the document into a critical section and a non-critical section. Further, the method includes the step of processing the non-critical section at a minimally secure location.

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: 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: 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.