System and method to identify low performing parameters of the same content hosted on different platforms

Patent metadata

Field	Value
Publication number	US-11810068-B2
Application number	US-202016896670-A
Country	US
Kind code	B2
Filing date	Jun 9, 2020
Priority date	Jun 9, 2020
Publication date	Nov 7, 2023
Grant date	Nov 7, 2023

Abstract

A system, method, and computer-readable medium are disclosed to identify low performing parameters of the same content hosted on different platforms. The same content is provided to different platforms, where the same content includes an agent specific to a platform. Communication is performed to an agent on a platform to capture parameter data related to the same content. The captured parameter data is parsed to identify low performing parameter data on the platform. Quality checks are performed on the identified low performing parameter data on the platform. A report is provided on the same content and the low performing parameter data. A system, method, and computer-readable medium are disclosed for.

First claim

What is claimed is:

1. A computer-implementable method performed by an information handling system to identify low performing parameters with same content hosted on different platforms comprising:
providing by the information handling system through a network, the same content to the different platforms, wherein the same content comprises an agent specific to a platform;
communicating by the information handling system, to an agent on a platform to capture parameter data related to the same content, wherein the parameter data is in an XML file;
parsing by a polarizing vector the XML file of the captured parameter data to identify low performing parameter data on the platform using configurable parameters to pull data from corresponding meta data;
performing by the information handling system, quality checks on the identified low performing parameter data on the platform; and
providing by the information handling system, an automated report on the same content and the low performing parameter data.

2. The method of claim 1 , wherein the same content comprises file name, globally unique identifiers (GUID), and object ID mapping.

3. The method of claim 1 , wherein the parameter data to be captured is defined by a business unit.

4. The method of claim 1 , wherein the parsing is performed by an algorithm that processes business driven parameters captured from accumulated data sets, defines characterization of each file level parameter, checks each file level parameter associated with a file type and plots each file level parameter against predefined values.

5. The method of claim 1 , wherein the parsing eliminates non-business unit related parameter data.

6. The method of claim 1 , wherein the quality checks are related to performance that addresses one or more of readability, indexability, searchability, meta-tagging, content creation, and accessibility of the same content.

7. The method of claim 1 further comprising storing files with the low performing data for use by a business unit.

8. A system comprising:
a processor;
a data bus coupled to the processor; and
a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations to identify low performing parameters with same content hosted on different platforms comprising and comprising instructions executable by the processor and configured for:
providing by the information handling system through a network, the same content to the different platforms, wherein the same content comprises an agent specific to a platform;
communicating by the information handling system, to an agent on a platform to capture parameter data related to the same content, wherein the parameter data is in an XML file;
parsing by a polarizing vector the XML file of the captured parameter data to identify low performing parameter data on the platform using configurable parameters to pull data from corresponding meta data;
performing by the information handling system, quality checks on the identified low performing parameter data on the platform; and
providing by the information handling system, an automated report on the same content and the low performing parameter data.

9. The system of claim 8 , wherein the same content comprises file name, globally unique identifiers (GUID), and object ID mapping.

10. The system of claim 8 , wherein the parameter data to be captured is defined by a business unit.

11. The system of claim 8 , wherein the parsing is performed by an algorithm that processes business driven parameters captured from accumulated data sets, defines characterization of each file level parameter, checks each file level parameter associated with a file type and plots each file level parameter against predefined values.

12. The system of claim 8 , wherein the parsing eliminates non-business unit related parameter data.

13. The system of claim 8 , wherein the quality checks are related to performance that addresses one or more of readability, indexability, searchability, meta-tagging, content creation, and accessibility of the same content.

14. The system of claim 8 further comprising storing files with the low performing data for use by a business unit.

15. A non-transitory, computer-readable storage medium embodying computer program code to identify low performing parameters with same content hosted on different platforms, the computer program code executable on an information handling system and comprising computer executable instructions configured for:
providing by the information handling system through a network, the same content to the different platforms, wherein the same content comprises an agent specific to a platform;
communicating by the information handling system, to an agent on a platform to capture parameter data related to the same content, wherein the parameter data is in an XML file;
parsing by a polarizing vector the XML file of the captured parameter data to identify low performing parameter data on the platform using configurable parameters to pull data from corresponding meta data;
performing by the information handling system, quality checks on the identified low performing parameter data on the platform; and
providing by the information handling system, an automated report on the same content and the low performing parameter data.

16. The non-transitory, computer-readable storage medium of claim 15 , wherein the same content comprises file name, globally unique identifiers (GUID), and object ID mapping.

17. The non-transitory, computer-readable storage medium of claim 15 , wherein the parameter data to be captured is defined by a business unit.

18. The non-transitory, computer-readable storage medium of claim 15 , wherein parsing is performed by an algorithm that processes business driven parameters captured from accumulated data sets, defines characterization of each file level parameter, checks each file level parameter associated with a file type and plots each file level parameter against predefined values.

19. The non-transitory, computer-readable storage medium of claim 15 , wherein the parsing eliminates non-business unit related parameter data.

20. The non-transitory, computer-readable storage medium of claim 15 , wherein the quality checks are related to performance that addresses one or more of readability, indexability, searchability, meta-tagging, content creation, and accessibility of the same content.

Assignees

• Dell Products Lp

Inventors

• Babu Rathi
• Roy Mainak

Classifications

• G06Q10/10 Primary

  Office automation; Time management · CPC title

• G06F8/427

  Parsing · CPC title

• G06F16/13

  File access structures, e.g. distributed indices (arrangements of input from, or output to, record carriers G06F3/06) · CPC title

• G06F16/164

  File meta data generation · CPC title

• G06F40/221

  Parsing markup language streams (streaming G06F40/149) · CPC title