Palantir Technologies Inc.

Google Inc.

Brian Ngo

Parvathy Menon

Allen Cai

Zachary Bush

Sean Kelley

Allen Chang

Joshua Goldenberg

Gregory Martin

Bill Dwyer

Zach Bush

Mike Boland

Di Wu

John Kenneth Garrod

Ankit Shankar

David Tobin

Daniel Erenrich

Lucas Lemanowicz

Daniel Deutsch

Geoff Stowe

Michael Nazario

Eliot Ball

Eli Bingham

Jacob Scott

Dylan Scott

Mikhail Proniushkin

Nicholas Miyake

Kevin Verdieck

Kayo Teramoto

Wilson Wong

Feridun Arda Kara

Anirvan Mukherjee

Andrew Ash

Greg Martin

Aditya Dahiya

Calvin Fernandez

Diane Wu

Izaak Baker

Xiaohan Zhang

Winnie Chai

Engin Ural

Ayush Sood

William Dwyer

Audrey Kuan

Grace Wang

Ted Mabrey

Siddharth Rajgarhia

Drausin Wulsin

Gilad Gray

Jiaji Hu

Holly Xu

Greg Cohan

Jerry Chen

Chris Dorsey

Dennis Kwon

Chris Lewis

Asli Ozyar

Jonathan Hong

Mike Reilly

Matt Sills

Spencer Stamats

Samir Talwar

Clark Minor

Holt Wilkins

Nicholas Fey

Christopher Rogers

Joyce Yu-Hsin Chen

Bar Kaya

Junichi Uekawa

Noritaka Adachi

Patricio Jones Velez

Yu-Hsin Joyce Chen

Baris Kaya

Christopher Rodgers

P J Valez

Pj Valez

Systems and methods for aggregating and storing different types of data, and generating interactive user interfaces for analyzing the stored data. In some embodiments, entity data is received for a plurality of entities from one or more data sources, and used to determine attribute values for the entities for one or more given time periods. The plurality of entities may be categorized into one or more entity groups, and aggregate attribute values may be generated based upon the entity groups. A first interactive user interface is generated displaying the one or more entity groups in association with the aggregated attribute values associated with the entity group. In response to a received indication of a user selection of an entity group, a second interactive user interface is generated displaying the one or more entities associated with the selected entity group, each entity displayed in association with the attribute values associated with the entity.

Systems for collecting, aggregating, and storing data, generating interactive user interfaces for analyzing data, and generating alerts based upon collected data

A context-sensitive viewing system is disclosed in which various data visualizations, also referred to a contextual views, of a common set of data may be viewed by a user on an electronic device. Data in the system may comprise data objects and associated properties and/or metadata, and may be stored in one or more electronic data stores. As a user of the system views and manipulates a first contextual view of a set of data objects, one or more other contextual views of the same set of data objects may be updated accordingly. Updates to the secondary contextual views may, in various embodiments, happen real-time. Further, the secondary contextual views may be visible to the user simultaneously with the primary contextual view. A user may switch from one view to another, and may manipulate data in any view, resulting in updates in the other views.

Context-sensitive views

Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes recognizing an identifier associated with an entity and accessing a data structure comprising information associated with a plurality of interactions. The method also comprises identifying one or more interactions of the plurality of interactions based on the recognized identifier. The method further comprises processing the information of the identified interactions to analyze a performance of the entity and providing the processed information to display the performance of the entity on a user interface.

Methods and systems for analyzing entity performance

Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes receiving a request with one or more filter selections and accessing a data structure comprising a plurality of categories of information showing interactions associated with multiple entities. The method also comprises identifying a set of categories of the plurality of categories within the data structure based on the one or more filter selections. The method further comprises processing the information of the identified categories to analyze a performance of one or more entities of the multiple entities in accordance with the one or more filter selections and providing the processed information to display the performance of the one or more entities on a user interface.

Systems and methods are provided for analyzing entity performance. In one implementation, a method is provided that includes accessing a data structure comprising a plurality of interactions associated with multiple entities. The method also includes evaluating one or more interactions of the plurality of interactions associated with a consuming entity of the multiple entities. The method further includes determining whether the one or more interactions associated with the consuming entity comprise an identified location information of the consuming entity.

A system is configured to identify prior search history associated with a user, where the prior search history includes information regarding searches initiated by the user and information regarding search results provided based on the searches. The system is further configured to filter the prior search history to select one of the search results, generate an information item for the search result, and provide the information item to a client, associated with the user, for presentation on a display associated with the client.

Providing information regarding prior searches

Growing community of inventors

San Francisco, CA, United States of America

Brian Ngo