JP2015524129A5

JP2015524129A5 -

Info

Publication number: JP2015524129A5
Application number: JP2015518525A
Authority: JP
Filing date: 2013-06-18
Publication date: 2016-08-04
Anticipated expiration: 2033-06-18

Claims

In a computer program comprising instructions that, when executed by at least one programmable processor, cause the at least one programmable processor to perform an operation,
Said operation is
Receiving the first data unit in the recurring revenue management system;
Receiving a second data unit in the current revenue management system;
Extracting content from a first data unit and a second data unit based on parameters of a predetermined data object that is part of an asset data model defined within the ordinary revenue management system;
Adding extracted content to an instance of a predetermined data object and associating a reference tag with the content extracted from each of the first data unit and the second data unit, each reference tag Includes identifying information for its associated content, and
A duplicate data situation in which the content extracted from the first data unit and the content extracted from the second data unit give redundant and conflicting values for the same field inside an instance of a given data object. Detecting step;
Resolving the duplicate data situation by applying a predetermined approach to resolving the conflict based on the identification information in the reference tag of the contents of the first data unit and the second data unit. .

The predetermined approach includes identifying one or more key fields in the content, each of the one or more key fields having a unique characteristic.
The computer program according to claim 1.

The predetermined approach includes a clustering algorithm that measures one or more statistical variability for a larger group of objects in the asset data model.
The computer program according to claim 1.

The asset data model includes one or more of each of a product data object, a recurring revenue asset data object, an opportunity data object, and a contact data object.
The computer program as described in any one of Claims 1-3.

The content extracted from the first data unit and the content extracted from the second data unit are the asset data model of the product data object, the recurring revenue asset data object, the opportunity data object, and the contact data object. Represents one or more of
The computer program according to claim 4.

The operation further includes:
Generating asset data objects for recurring revenue assets according to the elimination of duplicate data situations,
The computer program as described in any one of Claims 1-5.

The identification information associated with each reference tag includes an indication of the source from which the extracted content was received, and the extracted content further includes the previous reference tag associated with the extracted content with which the reference tag is associated. Including tag history, including history,
The computer program as described in any one of Claims 1-6.

Each reference tag further includes one or more of the date of receipt, the user identifier, and the user's acceptable level indicating the content to be extracted.
The computer program according to claim 7.

A recurring revenue management system comprising at least one programmable processor for executing the computer program according to claim 1.

Receiving, by one or more processors, a first data unit associated with a recurring revenue asset;
Receiving, by one or more processors, a second data unit associated with the recurring revenue asset;
One or more processors, based on parameters of a predetermined data object that is part of an asset data model defined within the recurring revenue management system for recurring revenue assets, a first data unit and a second data unit Extracting content from the data unit of
The content extracted by one or more processors is added to an instance of a given data object, and a reference tag is associated with the content extracted from each of the first data unit and the second data unit. Each reference tag includes identifying information for its associated content; and
The content extracted from the first data unit and the content extracted from the second data unit by one or more processors is redundant and conflicting with the same field inside an instance of a given data object. Detecting a duplicate data situation, giving a value to
By applying a predetermined approach to conflict resolution based on the identification information in the reference tag of the contents of the first data unit and the second data unit by one or more processors, A computer-implemented method comprising the step of resolving.

The predetermined approach includes identifying one or more key fields in the content, each of the one or more key fields having a unique characteristic.
The computer-implemented method of claim 10.

The predetermined approach includes a clustering algorithm that measures one or more statistical variability for a larger group of objects in the asset data model.
The computer-implemented method of claim 11.

The asset data model includes one or more of each of a product data object, a recurring revenue asset data object, an opportunity data object, and a contact data object.
The computer-implemented method of claim 12.

The content extracted from the first data unit and the content extracted from the second data unit are the asset data model of the product data object, the recurring revenue asset data object, the opportunity data object, and the contact data object. Represents one or more of
The computer-implemented method of claim 13.

The operation further includes:
Generating asset data objects for recurring revenue assets according to the elimination of duplicate data situations,
15. A computer implemented method according to claim 13 or 14.