Patents by Inventor Andrew Thomas Nelmes

Andrew Thomas Nelmes 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: 12141169
    Abstract: A method for converting a spreadsheet into a data model includes: obtaining the spreadsheet including a plurality of cells containing data; identifying local structures within the spreadsheet using attributes of the data in the spreadsheet; combining the local structures of the spreadsheet into a generic multi-dimensional model comprising dimensions and data cubes; generating the data model using the generic multi-dimensional model by mapping elements of the generic multi-dimensional model to elements of the data model; and displaying, on a display and to a user, the data model. The dimensions and the data cubes are the elements of the generic multi-dimensional model.
    Type: Grant
    Filed: January 14, 2022
    Date of Patent: November 12, 2024
    Assignee: Anaplan, Inc.
    Inventors: Andrew Thomas Nelmes, Alexandros Komninos, Robin Ward Stafford, Jonathan Co
  • Patent number: 11720596
    Abstract: Proposed are concepts for identifying OLAP dimensions from a spreadsheet. Such a concept may determine contents and structure of an OLAP dimension from a spreadsheet using position, formatting, data and formulae. This may, for example, facilitating creation of an OLAP mode in a manner that would otherwise not be possible with the existing tools.
    Type: Grant
    Filed: February 21, 2020
    Date of Patent: August 8, 2023
    Assignee: International Business Machines Corporation
    Inventors: Andrew Thomas Nelmes, Jonathan Co, Alexandros Komninos
  • Patent number: 11720597
    Abstract: Proposed are concepts for transforming a spreadsheet (or set of spreadsheets) into a knowledge base for analysis. Such a concept may convert a spreadsheet into a structured OLAP model that facilitates detailed analysis. For instance, by turning the semi-structured cell-based data representation into a structured OLAP model, it may be possible to perform analysis that would otherwise not be possible with the existing tools.
    Type: Grant
    Filed: February 21, 2020
    Date of Patent: August 8, 2023
    Assignee: International Business Machines Corporation
    Inventors: Andrew Thomas Nelmes, Jonathan Co, Alexandros Komninos
  • Patent number: 11593408
    Abstract: Proposed are concepts for identifying data relationships from a spreadsheet. Such a concept may transform formulae by replacing the variables in each formula with descriptive labels. This may, for example, expressing the transformed formulae in terms that have more meaning to a user, the facilitating understanding and/or analysis that would otherwise not be possible with the existing tools.
    Type: Grant
    Filed: February 21, 2020
    Date of Patent: February 28, 2023
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Alexandros Komninos, Jonathan Co, Andrew Thomas Nelmes
  • Publication number: 20210149926
    Abstract: Proposed are concepts for identifying data relationships from a spreadsheet. Such a concept may transform formulae by replacing the variables in each formula with descriptive labels. This may, for example, expressing the transformed formulae in terms that have more meaning to a user, the facilitating understanding and/or analysis that would otherwise not be possible with the existing tools.
    Type: Application
    Filed: February 21, 2020
    Publication date: May 20, 2021
    Inventors: Alexandros Komninos, Jonathan Co, Andrew Thomas Nelmes
  • Publication number: 20210149919
    Abstract: Proposed are concepts for identifying OLAP dimensions from a spreadsheet. Such a concept may determine contents and structure of an OLAP dimension from a spreadsheet using position, formatting, data and formulae. This may, for example, facilitating creation of an OLAP mode in a manner that would otherwise not be possible with the existing tools.
    Type: Application
    Filed: February 21, 2020
    Publication date: May 20, 2021
    Inventors: Andrew Thomas Nelmes, Jonathan Co, Alexandros Komninos
  • Publication number: 20210149920
    Abstract: Proposed are concepts for transforming a spreadsheet (or set of spreadsheets) into a knowledge base for analysis. Such a concept may convert a spreadsheet into a structured OLAP model that facilitates detailed analysis. For instance, by turning the semi-structured cell-based data representation into a structured OLAP model, it may be possible to perform analysis that would otherwise not be possible with the existing tools.
    Type: Application
    Filed: February 21, 2020
    Publication date: May 20, 2021
    Inventors: Andrew Thomas Nelmes, Jonathan Co, Alexandros Komninos
  • Patent number: 7933791
    Abstract: An enterprise planning and performance management system provides a variable-based modeling technique that enables users to interact with a more manageable variable-centric front-end for complex enterprise planning software. The system enables users to specify a plurality of variable definitions via a variable-based user interface. Based on the plurality of variable definitions, the system generates, and in some instances automatically generates, model data that defines an enterprise planning model. The system uses the model data during subsequent enterprise planning sessions. Because model builders typically comprise financial analysts unfamiliar with traditional complex enterprise modeling techniques but familiar with common financial variables of an enterprise, this variable-based modeling technique may facilitate easier model building by allowing these financial analysts to generate model data from the perspective of the more readily understood variables.
    Type: Grant
    Filed: August 21, 2007
    Date of Patent: April 26, 2011
    Assignee: International Business Machines Corporation
    Inventors: Andrew Thomas Nelmes, George Duncan Pearson, Johnathan Hodge, John Martin Pitstick, Michael Gould
  • Publication number: 20080066067
    Abstract: Techniques are described of entering and presenting data in an enterprise planning and performance management system. As disclosed herein, the techniques facilitate the capture and entry of data into an underlying multidimensional dataset through action-based forms. In addition, the techniques allow reviewers to use spreadsheet-like views of the captured data. In certain embodiments, the techniques also facilitate straightforward review of changes to data within the spreadsheet-like views by providing a task log that enables reviewers to more readily review, accept, or dismiss such changes.
    Type: Application
    Filed: August 10, 2007
    Publication date: March 13, 2008
    Applicant: Cognos Incorporated
    Inventors: Mark Stimpson, Andrew Thomas Nelmes