Abstract: The present invention relates generally to methods, software and systems for measuring and valuing the quality of information and data, where such measurements and values are made and processed by implementing objectively defined, measurable, comparable and repeatable dimensions using software and complex computers. The embodiments include processes, systems and method for identifying optimal scores of the data dimension. The invention further includes processes, systems and method for data filtering to improve the overall data quality of a data source. Finally, the invention further includes processes, systems and method for data quality assurance of groups of rows of a database.
Type:
Application
Filed:
May 1, 2014
Publication date:
October 30, 2014
Applicant:
Black Oak Partners, LLC
Inventors:
Thomas Rickett MCGRAW, Larry Ward BURKS, Brian KOLO
Abstract: The present invention relates generally to methods, software and systems for measuring and valuing the quality of information and data, where such measurements and values are made and processed by implementing objectively defined, measurable, comparable and repeatable dimensions using software and complex computers. The embodiments include processes, systems and method for identifying optimal scores of the data dimension. The invention further includes processes, systems and method for data filtering to improve the overall data quality of a data source. Finally, the invention further includes processes, systems and method for data quality assurance of groups of rows of a database.
Type:
Grant
Filed:
August 18, 2010
Date of Patent:
September 23, 2014
Assignee:
Black Oak Partners, LLC
Inventors:
Thomas Rickett McGraw, Larry Ward Burks, Brian Kolo
Abstract: Embodiments of the present invention may provide systems and methods for receiving a request for an anticipatory credit score for an individual; identifying one or more credit entries for the individual; accessing a data metrics model for determining anticipatory credit scores; determining, if applicable, one or more timed credit entries in the one or more credit entries; calculating the anticipatory credit score for the individual for a set time in the future using, if applicable, the one or more timed credit entries; and sending the anticipatory credit score.
Type:
Application
Filed:
April 26, 2012
Publication date:
November 1, 2012
Applicant:
Black Oak Partners, LLC
Inventors:
Brian Kolo, Thomas Rickett McGraw, Dathan Gaskill, Chester Wiermanski
Abstract: Embodiments of the present invention may provide systems and methods for receiving a request for an individual's credit report; identifying the individual's one or more credit entries from the individual's credit report; accessing a credit model; calculating a credit score with the credit model using aspects derived from the individual's credit report; accessing a data metrics model; calculating a data metrics score for the individual's one or more credit entries; preparing a credit report combining the results of the credit score and the data metrics score; and sending the credit report.
Type:
Application
Filed:
April 26, 2012
Publication date:
November 1, 2012
Applicant:
Black Oak Partners, LLC
Inventors:
Brian Kolo, Thomas Rickett McGraw, Dathan Gaskill
Abstract: The present invention relates generally to methods, software and systems for measuring and valuing the quality of information and data, where such measurements and values are made and processed by implementing objectively defined, measurable, comparable and repeatable dimensions using software and complex computers. The embodiments include processes, systems and method for identifying optimal scores of the data dimension. The invention further includes processes, systems and method for data filtering to improve the overall data quality of a data source. Finally, the invention further includes processes, systems and method for data quality assurance of groups of rows of a database.
Type:
Application
Filed:
August 18, 2010
Publication date:
June 21, 2012
Applicant:
BLACK Oak Partners ,LLC
Inventors:
Thomas Rickett McGraw, Larry Ward Burks, Brian Kolo