Data Collection Framework

• US 20150134381A1
• Filed: 01/23/2015
• Published: 05/14/2015
• Est. Priority Date: 11/23/2010
• Status: Abandoned Application

• Current Assignee: Accenture Global Services Limited (Accenture PLC)
• Original Assignee: Accenture Global Services Limited (Accenture PLC)
• Inventors: Karthikeyan, Sailatha
• Application Number:
  US14/604,307
• Publication Number:
  US 20150134381A1
• Time in Patent Office: Days
• US Class Current: 705/7.11
• CPC Class Codes: G06Q 10/00 Administration; Management
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 30/00 Commerce

Abstract

A common data collection framework accesses data collected by an electronic commerce system in a format specific to the electronic commerce system. The common data collection framework determines a type of the data and identifies, from among multiple types of common data objects, a common data object that is independent of the electronic commerce system and that is defined to store data corresponding to the determined type. The common data collection framework stores the data collected by the electronic commerce system in an instance of the common data object and provides, to an analytics system, the instance of the common data object to enable the analytics system to perform analytics on the data collected by the electronic commerce system using the common format that is different than the format specific to the electronic commerce system and that accommodates multiple, different types of electronic commerce systems.

Claims

1. A computer system comprising:

at least one processor; and

at least one memory coupled to the at least one processor having stored thereon instructions which, when executed by the at least one processor, causes the at least one processor to perform operations comprising;

accessing data collected by an electronic commerce system, the data being arranged in a format specific to the electronic commerce system;

in response to accessing the data collected by the electronic commerce system, determining, from among multiple types of data collected by electronic commerce systems, a type of the data collected by the electronic commerce system;

based on the determination of the type of the data collected by the electronic commerce system, identifying, from among multiple types of common data objects that are defined to store data corresponding to the multiple types of data collected by electronic commerce systems, a common data object that is independent of the electronic commerce system and that is defined to store data corresponding to the determined type of the data collected by the electronic commerce system, the common data object having a common format that is different than the format specific to the electronic commerce system and that accommodates multiple, different types of electronic commerce systems;

based on the identification of the common data object, storing the data collected by the electronic commerce system in an instance of the common data object; and

after storing the data collected by the electronic commerce system in the instance of the common data object, providing, to an analytics system, the instance of the common data object to enable the analytics system to perform analytics on the data collected by the electronic commerce system using the common format that is different than the format specific to the electronic commerce system and that accommodates multiple, different types of electronic commerce systems.