Methods and systems for analyzing entity performance

Patent metadata

Field	Value
Publication number	US-9734217-B2
Application number	US-201414306138-A
Country	US
Kind code	B2
Filing date	Jun 16, 2014
Priority date	Dec 16, 2013
Publication date	Aug 15, 2017
Grant date	Aug 15, 2017

Abstract

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.

First claim

What is claimed is:

1. A system for analyzing entity performance, the system comprising:
a memory that stores a set of instructions;
one or more processors configured to execute the set of instructions that cause the one or more processors to:
receive a request from a user computer via a network with one or more filter selections;
access a data structure in the memory, the data structure comprising a plurality of categories of information showing interactions related to multiple entities;
identify a set of categories of the plurality of categories within the data structure based on the one or more filter selections, the set of categories within the data structure includes location information related to at least one of the multiple entities, wherein the plurality of the categories of the data structure include 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;
determine the location information of the at least one of the multiple entities to update the data structure, wherein the location information is determined based on a computed affinity score that is based on computed travel times so that the affinity score can have an inverse proportionality with computed travel times such that a higher affinity score can have a lower travel time, wherein the computed affinity score is used to estimate the location information within an estimated area location for the provisioning entity without an identified location information, wherein the determining includes verifying that a populated category of the plurality of categories is valid data that signifies the location information;
update the data structure with the determined location information within the area location;
process the location information of the identified set of categories to analyze a performance of one or more entities of the multiple entities in accordance with the one or more filter selections; and

provide the processed location information to display the performance of the one or more entities on a graphical user interface of the user computer.

2. The system of claim 1 , wherein at least one of the computed travel times includes a computed travel time between two provisioning entities.

3. The system of claim 1 , wherein the user interface includes one or more of:
a representation of a geographic region;
a representation of one or more locations of the one or more entities overlaid on the geographic region; and
a representation of sub-geographic regions overlaid on the geographic region.

4. The system of claim 1 , wherein the one or more filter selections are mapped to one or more of the plurality of categories of the data structure.

5. The system of claim 1 , wherein the set of instructions further cause the one or more processors to analyze performance of a first entity or a first group of entities of the one or more entities, and a second entity or a second group of entities of the one or more entities.

6. A method for analyzing entity performance, the method comprising:
receiving, from a user computer via a network, a request with one or more filter selections;
accessing, by a server computer, a data structure in a memory, the data structure comprising a plurality of categories of information showing interactions related to multiple entities;
identifying, by the server computer, a set of categories of the plurality of categories within the data structure based on the one or more filter selections, wherein the set of categories within the data structure includes location information related to at least one of the multiple entities, wherein the plurality of categories of the data structure include 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;
determining, by the server computer, the location information of the at least one of the multiple entities to update the data structure, wherein the location information is determined based on a computed affinity score that is based on computed travel times so that the affinity score can have an inverse proportionality with computed travel times such that a higher affinity score can have a lower travel time, wherein the computed affinity score is used to estimate the location information within an estimated area location for the provisioning entity without an identified location information, wherein the determining includes verifying that a populated category of the plurality of categories is valid data that signifies the location information;
updating, by the server computer, the data structure with the determined location information within the area location;
processing, by the server computer, the location information of the identified set of the plurality of 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 location information to display the performance of the one or more entities on a graphical user interface of the user computer.

7. The method of claim 6 , wherein at least one of the computed travel times includes a computed travel time between two provisioning entities.

8. The method of claim 6 , wherein the user interface includes one or more of:
a representation of a geographic region;
a representation of one or more locations of the one or more entities overlaid on the geographic region; and
a representation of sub-geographic regions overlaid on the geographic region.

9. The method of claim 6 , wherein the one or more filter selections are mapped to one or more of the plurality of categories of the data structure.

10. The method of claim 6 , wherein the one or more filter selections are associated with a particular user interface of a plurality of user interfaces, the particular user interface displays a representation associated with the one or more filter selections overlaid on a geographic region.

11. The method of claim 6 , further comprising analyzing performance of a first entity or a first group of entities of the one or more entities, and a second entity or a second group of entities of the one or more entities.

12. A non-transitory computer-readable medium storing a set of instructions that are executable by one or more processors of one or more servers to cause the one or more servers to perform a method for analyzing entity performance, the method comprising:
receiving, from a user computer via a network, a request with one or more filter selections;
accessing, by a server computer, a data structure in a memory, the data structure comprising a plurality of categories of information showing interactions related to multiple entities;
identifying, by the server computer, a set of categories of the plurality of categories within the data structure based on the one or more filter selections, wherein the set of categories within the data structure includes location information related to at least one of the multiple entities, wherein the plurality of categories of the data structure include at least one of: an interaction number category, a consuming entity identification category, a consuming entity location category, a provisioning entity identification category, a provisioni

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
• Valez P J
• Wilkins Holt
• Wu Diane
• Wulsin Drausin
• Wu Di
• Chen Joyce Yu-Hsin
• Kaya Bar

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

• G06F17/30554 Primary

  Physics · mapped topic