Systems and methods for data analysis and visualization and managing data conflicts

US10095763B1 · kind B1 · utility

Assignee

• Palantir Technologies Inc. · US

Inventors

• Caitlin Colgrove · Palo Alto, US
• Andrew Moreland · Stanford, US
• Alexander Taheri · New York, US
• Benjamin Hamme · San Francisco, US
• Bianca Rahill-Marier · London, GB
• John Carrino · Menlo Park, US
• Dzmitry Dulko · San Jose, US
• Gabrielle Javitt · New York, US
• Helen Kaltegaertner · New York, US
• Joshua Chomicki · San Jose, US
• Josh Munsch · San Francisco, US
• Jacob Sanches · Oakland, US
• Mark E. Schafer · New York, US
• Walker Burgin · Seattle, US
• Xiaohan Zhang · Mountain View, US

Key dates

• Filing date: Sep 15, 2017
• Grant date: Oct 9, 2018
• Expiry date: Sep 15, 2037

Classification

• Technology area (CPC G): Physics
• CPC primary: G06F16/248
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Systems and methods are provided for generating reports reflecting a visualization of, e.g., a dataset on which data analysis has been performed. The data analysis performed on the dataset may be an aggregation of data analysis functionality provided by applications or tools. Dataset visualization is realized in a workspace implemented by a separate application or tool. Potential conflicts regarding updating one or more elements of the dataset are reconciled by implementing a dual operational transform system and method. A global state of the dataset may be determined by a first operational transform system and method, while a local state of the dataset may be determined by a second operational transform system and method. The local state of the dataset may be updated through operational transforms exchanged between the first and second operational transform systems that align the local state of the dataset with the global state of the dataset.