Patents Assigned to BeyondCore, Inc.
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Patent number: 9390121Abstract: Operations, such as data processing operations, can be improved by applying clustering and statistical techniques to observed behaviors in the data processing operations.Type: GrantFiled: July 11, 2014Date of Patent: July 12, 2016Assignee: BeyondCore, Inc.Inventors: Arijit Sengupta, Brad A. Stronger, Daniel Kane
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Patent number: 9141655Abstract: Methods for analyzing and rendering business intelligence data allow for efficient scalability as datasets grow in size. Human intervention is minimized by augmented decision making ability in selecting what aspects of large datasets should be focused on to drive key business outcomes. Variable value combinations that are predominant drivers of key observations are automatically determined from several competing variable value combinations. The identified variable value combinations can then be then used to predict future trends underlying the business intelligence data. In another embodiment, an observed outcome is decomposed into multiple contributing drivers and the impact of each of the contributing drivers can be analyzed and numerically quantified—as a static snapshot or as a time-varying evolution.Type: GrantFiled: March 27, 2015Date of Patent: September 22, 2015Assignee: BeyondCore, Inc.Inventors: Arijit Sengupta, Brad A. Stronger, Griffin Chronis
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Patent number: 9135290Abstract: Methods for analyzing and rendering business intelligence data allow for efficient scalability as datasets grow in size. Human intervention is minimized by augmented decision making ability in selecting what aspects of large datasets should be focused on to drive key business outcomes. Variable value combinations that are predominant drivers of key observations are automatically determined from several competing variable value combinations. The identified variable value combinations can then be then used to predict future trends underlying the business intelligence data. In another embodiment, an observed outcome is decomposed into multiple contributing drivers and the impact of each of the contributing drivers can be analyzed and numerically quantified—as a static snapshot or as a time-varying evolution.Type: GrantFiled: March 27, 2015Date of Patent: September 15, 2015Assignee: BeyondCore, Inc.Inventors: Arijit Sengupta, Brad A. Stronger, Griffin Chronis
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Patent number: 9135286Abstract: Methods for analyzing and rendering business intelligence data allow for efficient scalability as datasets grow in size. Human intervention is minimized by augmented decision making ability in selecting what aspects of large datasets should be focused on to drive key business outcomes. Variable value combinations that are predominant drivers of key observations are automatically determined from several competing variable value combinations. The identified variable value combinations can then be then used to predict future trends underlying the business intelligence data. In another embodiment, an observed outcome is decomposed into multiple contributing drivers and the impact of each of the contributing drivers can be analyzed and numerically quantified—as a static snapshot or as a time-varying evolution.Type: GrantFiled: March 27, 2015Date of Patent: September 15, 2015Assignee: BeyondCore, Inc.Inventors: Arijit Sengupta, Brad A. Stronger, Griffin Chronis
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Patent number: 9129226Abstract: 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.Type: GrantFiled: December 4, 2011Date of Patent: September 8, 2015Assignee: BeyondCore, Inc.Inventors: Arijit Sengupta, Brad A. Stronger
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Patent number: 9098810Abstract: Methods for analyzing and rendering business intelligence data allow for efficient scalability as datasets grow in size. Human intervention is minimized by augmented decision making ability in selecting what aspects of large datasets should be focused on to drive key business outcomes. Variable value combinations that are predominant drivers of key observations are automatically determined from several competing variable value combinations. The identified variable value combinations can then be then used to predict future trends underlying the business intelligence data. In another embodiment, an observed outcome is decomposed into multiple contributing drivers and the impact of each of the contributing drivers can be analyzed and numerically quantified—as a static snapshot or as a time-varying evolution.Type: GrantFiled: March 27, 2015Date of Patent: August 4, 2015Assignee: BeyondCore, Inc.Inventors: Arijit Sengupta, Brad A. Stronger, Griffin Chronis
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Patent number: 8782087Abstract: Operations, such as data processing operations, can be improved by applying clustering and statistical techniques to observed behaviors in the data processing operations.Type: GrantFiled: September 29, 2011Date of Patent: July 15, 2014Assignee: BeyondCore, Inc.Inventors: Arijit Sengupta, Brad A. Stronger, Daniel Kane
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Patent number: 8775446Abstract: 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.Type: GrantFiled: April 5, 2011Date of Patent: July 8, 2014Assignee: BeyondCore, Inc.Inventors: Arijit Sengupta, Brad A. Stronger
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Patent number: 8019734Abstract: 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.Type: GrantFiled: November 11, 2010Date of Patent: September 13, 2011Assignee: BeyondCore, Inc.Inventor: Arijit Sengupta
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Publication number: 20110209053Abstract: 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.Type: ApplicationFiled: May 9, 2011Publication date: August 25, 2011Applicant: BeyondCore, Inc.Inventors: Brad A. Stronger, Arijit Sengupta
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Patent number: 7940929Abstract: 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.Type: GrantFiled: November 23, 2005Date of Patent: May 10, 2011Assignee: BeyondCore, Inc.Inventor: Arijit Sengupta
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Patent number: 7933934Abstract: 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.Type: GrantFiled: November 11, 2010Date of Patent: April 26, 2011Assignee: BeyondCore, Inc.Inventor: Arijit Sengupta
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Patent number: 7933878Abstract: 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.Type: GrantFiled: November 11, 2010Date of Patent: April 26, 2011Assignee: BeyondCore, Inc.Inventor: Arijit Sengupta
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Patent number: 7925638Abstract: 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.Type: GrantFiled: September 8, 2010Date of Patent: April 12, 2011Assignee: BeyondCore, Inc.Inventors: Arijit Sengupta, Brad A. Stronger
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Patent number: 7849062Abstract: 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.Type: GrantFiled: May 25, 2010Date of Patent: December 7, 2010Assignee: BeyondCore, Inc.Inventors: Arijit Sengupta, Brad A. Stronger
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Patent number: 7844641Abstract: 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.Type: GrantFiled: March 24, 2006Date of Patent: November 30, 2010Assignee: Beyondcore Inc.Inventors: Arijit Sengupta, Brad A. Stronger
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Patent number: 7720822Abstract: 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.Type: GrantFiled: March 18, 2005Date of Patent: May 18, 2010Assignee: BeyondCore, Inc.Inventor: Arijit Sengupta