Methods and systems for analyzing entity performance

Patent metadata

Field	Value
Publication number	US-10025834-B2
Application number	US-201414306147-A
Country	US
Kind code	B2
Filing date	Jun 16, 2014
Priority date	Dec 16, 2013
Publication date	Jul 17, 2018
Grant date	Jul 17, 2018

Abstract

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.

First claim

What is claimed is:

1. A system for analyzing entity performance, the system comprising:
a memory device that stores a set of instructions;
one or more processors configured to execute the set of instructions to:
recognize an identifier associated with a first provisioning entity of a plurality of entities;
receive a plurality of interactions via a network from one or more computer systems;
access a first data structure in the memory, wherein the first data structure comprises categories of information showing the plurality of interactions between a plurality of entities, wherein the plurality of interactions includes at least some interactions involving a consuming entity visiting a physical location of a provisioning entity;
identify one or more categories of the categories that includes one or more interactions of the plurality of interactions based on the recognized identifier;
evaluate the one or more interactions to determine whether the interactions include identified location information of a consuming entity;
if the one or more interactions do not include the identified location information, estimate a location information of the consuming entity based on its interactions with one or more provisioning entities of a particular type:
process the identified location information associated with the identified interactions to analyze a performance of the first provisioning entity in accordance with one or more filter selections, thereby generating first processed information, the processing the information comprising creating a second data structure in the memory, the second data structure in the memory including the one or more interactions of the plurality of interactions identified based on the recognized identifier and the second data structure in the memory not including interactions of the plurality of interactions that are not identified based on the recognized identifier;
select for performance analysis a second provisioning entity based on detecting a match between at least two attributes of the first provisioning entity and the at least two attributes of the second provisioning entity, wherein the second provisioning entity, detected based on at least two attributes of the first provisioning entity and the at least two attributes of the second provisioning entity, is selected based on a location of the second provisioning entity with respect to a location of the first provisioning entity if more than one matching second provisioning entity is detected based on at least two attributes of the first provisioning entity and the at least two attributes of the second provisioning entity;
access the first data structure in the memory and identify information associated with interactions involving the selected second provisioning entity;
process the identified information associated with the interactions involving the selected second provisioning entity to analyze a performance of the selected second provisioning entity and to predict future consumer pattern, thereby generating second processed information;
provide, via the network to the one or more computer systems, at least a portion of the first processed information and at least a portion of the second processed information; and
present on a graphical user interface of the one or more computers a dashboard showing a graphical representation associated with the at least a portion of the first processed information and the at least a portion of the second processed information based on recognizing the identifier associated with a first provisioning entity of a plurality of entities.

2. The system of claim 1 , wherein each interaction of the plurality of interactions comprises categories of information including at least one of: an interaction number category, a consuming entity identification category, a consuming entity location category, a provisioning entity identification category, a provisioning entity location category, a type of provisioning entity category, an interaction amount category, and a time of interaction category.

3. The system of claim 1 , wherein the user interface includes a dashboard showing a graphical representation of the performance of the first provisioning entity.

4. The system of claim 1 , wherein the one or more processors are further configured to analyze performance of a first entity or a first group of entities of the plurality of entities and a second entity or a second group of entities of the plurality of entities.

5. The system of claim 1 , wherein the second provisioning entity that is closest in proximity to the first provisioning entity is selected if more than one matching second provisioning entity is detected.

6. A method for analyzing entity performance, the method comprising:
recognizing, by a server computer, an identifier associated with a first provisioning entity of a plurality of entities;
receive, by the server computer, a plurality of interactions via a network from one or more computer systems;
access, by the server computer, a first data structure in a memory, wherein the first data structure comprises categories of information showing the plurality of interactions between a plurality of entities wherein the plurality of interactions includes at least some interactions involving a consuming entity visiting a physical location of a provisioning entity;
identifying, by the server computer, one or more categories of the categories that includes one or more interactions of the plurality of interactions based on the recognized identifier;
evaluating, by the server computer, the one or more interactions to determine whether the interactions include identified location information of a consuming entity;
if the one or more interactions do not include the identified location information, estimate, by the server computer, a location information of the consuming entity based on its interactions with one or more provisioning entities of a particular type;
processing, by the server computer, the identified location information associated with the identified interactions to analyze a performance of the first provisioning entity in accordance with one or more filter selections, thereby generating first processed information, the processing the information comprising creating a second data structure in the memory, the second data structure in the memory including the one or more interactions of the plurality of interactions identified based on the recognized identifier and the second data structure in the memory not including interactions of the plurality of interactions that are not identified based on the recognized identifier;
selecting, by the server computer, for performance analysis a second provisioning entity based on detecting a match between at least two attributes of the first provisioning entity and the at least two attributes of the second provisioning entity, wherein the second provisioning entity, detected based on at least two attributes of the first provisioning entity and the at least two attributes of the second provisioning entity, is selected based on a location of the second provisioning entity with respect to a location of the first provisioning entity if more than one matching second provisioning entity is detected based on at least two attributes of the first provisioning entity and the at least two attributes of the second provisioning entity;
accessing, by the server computer, the first data structure in the memory and identify information associated with interactions involving the selected second provisioning entity;
processing, by the server computer, the identified information associated with the interactions involving the selected second provisioning entity to analyze a performance of the selected second provisioning entity and to predict future consumer patt

Assignees

• Palantir Technologies Inc

Inventors

• Kara Feridun Arda
• Bingham Eli
• Garrod John
• Erenrich Daniel
• Mukherjee Anirvan
• Mabrey Ted
• Ash Andrew
• Bush Zachary
• Cai Allen
• Chai Winnie
• Cohan Greg
• Dorsey Chris
• Dwyer William
• Gray Gilad
• Kelley Sean
• Kwon Dennis
• Lewis Chris
• Martin Greg
• Menon Parvathy
• Ngo Brian
• Ozyar Asli
• Reilly Mike
• Scott Jacob
• Shankar Ankit
• Sills Matt
• Stamats Spencer
• Stowe Geoff
• Talwar Samir
• Ural Engin
• Velez Patricio Jones
• Wilkins Holt
• Wu Diane
• Wulsin Drausin
• Wu Di
• Chen Yu-Hsin Joyce
• Kaya Baris

Classifications

• G06Q10/0639

  Performance analysis of employees; Performance analysis of enterprise or organisation operations · CPC title

• G06F16/248 Primary

  Presentation of query results · CPC title

• G06F16/285

  Clustering or classification · CPC title

• G06F16/26

  Visual data mining; Browsing structured data · CPC title

• G06F17/30572

  Physics · mapped topic