Patents by Inventor Brian F. Babcock

Brian F. Babcock has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10860598
    Abstract: Systems and methods for interest-driven business intelligence systems including event-oriented data in accordance with embodiments of the invention are illustrated. In one embodiment, an interest-driven business intelligence system includes raw data storage configured to contain raw data and perform ETL processes, a data mart configured to contain metadata that describes the raw data, and an intermediate processing layer, wherein the intermediate processing layer is configured to compile an interest-driven data pipeline configured to generate ETL processing jobs to generate event-oriented data from the raw data by filtering the raw data based on the metadata describing the raw data, determining ordering data based on the metadata describing the raw data, aligning the filtered raw data based on the ordering data, and generating event-oriented data based on the aligned filtered raw data, and storing the event-oriented data in the data mart.
    Type: Grant
    Filed: December 22, 2017
    Date of Patent: December 8, 2020
    Assignee: Workday, Inc.
    Inventors: John Schuster, Benjamin Mark Werther, Brian F. Babcock, Kevin Scott Beyer, Hans-Frederick Brown
  • Patent number: 10540363
    Abstract: Interest-driven business intelligence server systems that provide performance metadata are described. In the disclosed embodiments, an interest-driven business intelligence server system receives a report specification. The report specification includes at least reporting data requirement. The interest-driven business intelligence server determines performance metadata information for an interest-driven data pipeline that is utilized to generate reporting data based on the report specification. The performance metadata information for the interest-driven data pipeline is transmitted to an interest-driven user visualization system by the interest-driven business intelligence server system.
    Type: Grant
    Filed: July 29, 2016
    Date of Patent: January 21, 2020
    Assignee: Workday, Inc.
    Inventors: John Schuster, Usman Ghani, Brian F. Babcock, Jenn Rhim, John Glenn Eshleman, Peter Schlampp
  • Patent number: 10402421
    Abstract: Systems and methods for interest-driven data sharing in interest-driven business intelligence systems in accordance with embodiments of the invention are illustrated.
    Type: Grant
    Filed: August 11, 2017
    Date of Patent: September 3, 2019
    Assignee: Workday, Inc.
    Inventors: John Glenn Eshleman, Kevin Scott Beyer, Brian F. Babcock, Carl-Christian Kanne
  • Publication number: 20180210934
    Abstract: Systems and methods for interest-driven business intelligence systems including event-oriented data in accordance with embodiments of the invention are illustrated. In one embodiment, an interest-driven business intelligence system includes raw data storage configured to contain raw data and perform ETL processes, a data mart configured to contain metadata that describes the raw data, and an intermediate processing layer, wherein the intermediate processing layer is configured to compile an interest-driven data pipeline configured to generate ETL processing jobs to generate event-oriented data from the raw data by filtering the raw data based on the metadata describing the raw data, determining ordering data based on the metadata describing the raw data, aligning the filtered raw data based on the ordering data, and generating event-oriented data based on the aligned filtered raw data, and storing the event-oriented data in the data mart.
    Type: Application
    Filed: December 22, 2017
    Publication date: July 26, 2018
    Inventors: John Schuster, Benjamin Mark Werther, Brian F. Babcock, Kevin Scott Beyer, Hans-Frederick Brown
  • Publication number: 20180067999
    Abstract: Systems and methods for interest-driven data sharing in interest-driven business intelligence systems in accordance with embodiments of the invention are illustrated.
    Type: Application
    Filed: August 11, 2017
    Publication date: March 8, 2018
    Inventors: John Glenn Eshleman, Kevin Scott Beyer, Brian F. Babcock, Carl-Christian Kanne
  • Patent number: 8447721
    Abstract: Interest-driven Business Intelligence (BI) systems in accordance with embodiments of the invention are illustrated. In one embodiment of the invention, a data processing system includes raw data storage containing raw data, metadata storage containing metadata that describes the raw data, and an interest-driven data pipeline that is automatically compiled to generate reporting data using the raw data, wherein the interest-driven data pipeline is compiled based upon reporting data requirements automatically derived from at least one report specification defined using the metadata.
    Type: Grant
    Filed: February 29, 2012
    Date of Patent: May 21, 2013
    Assignee: Platfora, Inc.
    Inventors: John Glenn Eshleman, Benjamin Mark Werther, Kevin Scott Beyer, Brian F. Babcock, Yewei Zhang
  • Publication number: 20130013552
    Abstract: Interest-driven Business Intelligence (BI) systems in accordance with embodiments of the invention are illustrated. In one embodiment of the invention, a data processing system includes raw data storage containing raw data, metadata storage containing metadata that describes the raw data, and an interest-driven data pipeline that is automatically compiled to generate reporting data using the raw data, wherein the interest-driven data pipeline is compiled based upon reporting data requirements automatically derived from at least one report specification defined using the metadata.
    Type: Application
    Filed: February 29, 2012
    Publication date: January 10, 2013
    Applicant: Platfora, Inc.
    Inventors: John Glenn Eshleman, Benjamin Mark Werther, Kevin Scott Beyer, Brian F. Babcock, Yewei Zhang