Nicholas J Dipasquale

US Patent:

20030115207, Jun 19, 2003

Filed:

Sep 25, 2002

Appl. No.:

10/254574

Inventors:

David Bowman - Salem MA, US
Diar Ahmed - Walpole MA, US
Ryan Fuller - Boston MA, US
Jason De Veau - Framingham MA, US
Nicholas DiPasquale - Boston MA, US

International Classification:

G06F017/00
G06F007/00

US Classification:

707/100000

Abstract:

A data storage and analysis system for modeling complex systems and the outcome of decisions and potential alternatives. The system employs a hierarchical hybrid data model with high volumes of data organized in many dimensions, such as models of organization and business operations. A “wizard-based” data loader handles imperfect data and supports multiple servers and data sources. The structures that represent the hierarchical model for the data are defined and created as the backbone for the model using spreadsheets, multiple relational database tables, and other sources of data that may reside on one or more servers. The hierarchical hybrid data model that is built also supports the linking of many different sources of data to the model's hierarchies. Analytics generators called “microCubes™” generate answers to ‘questions’ based on the server model as they are requested. Scenario management tools are provided for creating alternate scenarios linked to hierarchical hybrid data model to provide ‘what if’ analysis.

US Patent:

20030061225, Mar 27, 2003

Filed:

Sep 25, 2002

Appl. No.:

10/254897

Inventors:

David Bowman - Salem MA, US
Diar Ahmed - Walpole MA, US
Ryan Fuller - Boston MA, US
Jason De Veau - Framingham MA, US
Nicholas DiPasquale - Boston MA, US

International Classification:

G06F007/00

US Classification:

707/100000

Abstract:

A data storage and analysis system for modeling complex systems and the outcome of decisions and potential alternatives. The system employs a hierarchical hybrid data model with high volumes of data organized in many dimensions, such as models of organization and business operations. A “wizard-based” data loader handles imperfect data and supports multiple servers and data sources. The structures that represent the hierarchical model for the data are defined and created as the backbone for the model using spreadsheets, multiple relational database tables, and other sources of data that may reside on one or more servers. The hierarchical hybrid data model that is built also supports the linking of many different sources of data to the model's hierarchies. Analytics generators called “microCubes™” generate answers to ‘questions’ based on the server model as they are requested. Scenario management tools are provided for creating alternate scenarios linked to hierarchical hybrid data model to provide ‘what if’ analysis.

US Patent:

20030061226, Mar 27, 2003

Filed:

Sep 25, 2002

Appl. No.:

10/254899

Inventors:

David Bowman - Salem MA, US
Diar Ahmed - Walpole MA, US
Ryan Fuller - Boston MA, US
Jason DE Veau - Framingham MA, US
Nicholas DiPasquale - Boston MA, US

International Classification:

G06F007/00

US Classification:

707/100000

Abstract:

A data storage and analysis system for modeling complex systems and the outcome of decisions and potential alternatives. The system employs a hierarchical hybrid data model with high volumes of data organized in many dimensions, such as models of organization and business operations. A “wizard-based” data loader handles imperfect data and supports multiple servers and data sources. The structures that represent the hierarchical model for the data are defined and created as the backbone for the model using spreadsheets, multiple relational database tables, and other sources of data that may reside on one or more servers. The hierarchical hybrid data model that is built also supports the linking of many different sources of data to the model's hierarchies. Analytics generators called “microCubes™” generate answers to ‘questions’ based on the server model as they are requested. Scenario management tools are provided for creating alternate scenarios linked to hierarchical hybrid data model to provide ‘what if’ analysis.

US Patent:

20030061246, Mar 27, 2003

Filed:

Sep 25, 2002

Appl. No.:

10/254731

Inventors:

David Bowman - Salem MA, US
Diar Ahmed - Walpole MA, US
Ryan Fuller - Boston MA, US
Jason De Veau - Framingham MA, US
Nicholas DiPasquale - Boston MA, US

International Classification:

G06F012/00

US Classification:

707/204000

Abstract:

A data storage and analysis system for modeling complex systems and the outcome of decisions and potential alternatives. The system employs a hierarchical hybrid data model with high volumes of data organized in many dimensions, such as models of organization and business operations. A “wizard-based” data loader handles imperfect data and supports multiple servers and data sources. The structures that represent the hierarchical model for the data are defined and created as the backbone for the model using spreadsheets, multiple relational database tables, and other sources of data that may reside on one or more servers. The hierarchical hybrid data model that is built also supports the linking of many different sources of data to the model's hierarchies. Analytics generators called “microCubes™” generate answers to ‘questions’ based on the server model as they are requested. Scenario management tools are provided for creating alternate scenarios linked to hierarchical hybrid data model to provide ‘what if’ analysis.