Method and system for accurately determining service provider assets

• US 8,774,946 B2
• Filed: 12/29/2009
• Issued: 07/08/2014
• Est. Priority Date: 12/29/2009
• Status: Expired due to Fees

• Current Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Original Assignee: Verizon Patent and Licensing Incorporated (Verizon Communications Inc.)
• Inventors: Nrusimhan N.V., Lakshmi, Sriraghavan, Priyanka G.
• Primary Examiner(s): Singh, Gurkanwaljit
• Application Number:
  US12/648,856
• Publication Number:
  US 20110161123A1
• Time in Patent Office: 1,652 Days
• Field of Search: None
• US Class Current: 700/17
• CPC Class Codes: G05B 2219/25323 Intelligent modules
• CPC Class Codes: G06F 16/242 Query formulation
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/087 Inventory or stock management, e.g. order filling, procurement or balancing against orders
• CPC Class Codes: G06Q 30/016 After-sales
• CPC Class Codes: H04L 25/063 Setting decision thresholds using feedback techniques only
• CPC Class Codes: H04L 41/5058 Service discovery by the service manager
• CPC Class Codes: H04L 41/5074 Handling of user complaints or trouble tickets
• CPC Class Codes: H04W 24/10 Scheduling measurement reports ; Arrangements for measurement reports

Abstract

An approach for automatically generating system asset inventory discrepancies and matches and for identifying system asset accuracy information based on comparison of asset data in subsystems thereof, and for providing a list of actual assets based on comparison of trouble ticket information and a cumulative matching data set.

Claims

1. A method comprising:

retrieving, from one or more storage devices, data relating to a plurality of assets of a service provider from a plurality of data systems associated with the service provider, wherein the data systems include a trouble ticket system;

determining, with one or more processors, an accuracy level of the data by comparing the data corresponding to a first one of the data systems with data corresponding to a second one of the data systems to output a current matching data set;

determining, with the one or more processors, further accuracy levels by comparing the current matching data set with data corresponding to a subsequent one of the data systems to output a new current matching data set, and iteratively continuing the determining, with the one or more processors, the further accuracy levels for data corresponding to each next subsequent one of the data systems using each new current matching data set as the current matching data set until a cumulative matching data set is generated according to the determined further accuracy levels using all of the data of the data systems;

retrieving, from the one or more storage devices, trouble ticket information relating to the assets from the trouble ticket system; and

generating, with the one or more processors, a list of actual assets based on the trouble ticket information and the cumulative matching data set,

wherein each of the accuracy levels is determined by comparing corresponding data for discrepancies, the method further comprising;

determining a cumulative discrepancy data based on the comparisons; and

comparing the trouble ticket information with the cumulative discrepancy data to generate the list of actual assets by identifying assets that are present, but associated with a discrepancy due to failure.

2. A method according to claim 1, wherein the accuracy levels are assigned to the plurality of assets.

3. A method according to claim 1, wherein the data systems further includes either a procurement system, a physical provisioning system, a logical provisioning system, an engineering system, a field dispatch system, an accounting system, or a combination thereof.

4. A method according to claim 1, wherein the assets include physical circuits and network equipment of the service provider.

5. A method according to claim 1, wherein the data includes procurement data and financial data.

6. A method according to claim 1, wherein the assets include physical assets.

7. An apparatus comprising:

a memory configured to store data relating to a plurality of assets of a service provider from a plurality of data systems associated with the service provider, wherein the data systems include a trouble ticket system; and

a processor coupled to the memory and configured to determine an accuracy level of the data by comparing the data corresponding to a first one of the data systems with data corresponding to a second one of the data systems to output a current matching data set, to determine further accuracy levels by comparing the current matching data set with data corresponding to a subsequent one of the data systems to output a new current matching data set, and to iteratively continue to determine the further accuracy levels for data corresponding to each next subsequent one of the data systems using each new current matching data set as the current matching data set until a cumulative matching data set is generated according to the determined further accuracy levels using all of the data of the data systems,

wherein the processor is further configured to initiate retrieval of trouble ticket information relating to the assets from the trouble ticket system, and to generate a list of actual assets based on the trouble ticket information and the cumulative matching data set, and

wherein each of the accuracy levels is determined by comparing the corresponding data for discrepancies, the processor being further configured to determine a cumulative discrepancy data based on the comparisons, and to compare the trouble ticket information with the cumulative discrepancy data to generate the list of actual assets by identifying assets that are present, but associated with a discrepancy due to failure.

8. An apparatus according to claim 7, wherein the accuracy levels are assigned to the plurality of assets.

9. An apparatus according to claim 7, wherein the data systems further includes either a procurement system, a physical provisioning system, a logical provisioning system, an engineering system, a field dispatch system, an accounting system, or a combination thereof.

10. An apparatus according to claim 7, wherein the assets include physical circuits and network equipment of the service provider.

11. An apparatus according to claim 7, wherein the data includes procurement data and financial data.

12. An apparatus according to claim 7, wherein the assets include physical assets.

13. A system comprising:

one or more storage devices arranged to form a database configured to store data relating to a plurality of assets of a service provider from a plurality of data systems associated with the service provider, wherein the data systems include a trouble ticket system; and

an inventory platform, including one or more processors, and configured to communicate with the database formed by the one or more storage devices and to determine, with the one or more processors, an accuracy level of the data by comparing the data corresponding to a first one of the data systems with data corresponding to a second one of the data systems to output a current matching data set, to determine, with the one or more processors, further accuracy levels by comparing the current matching data set with data corresponding to a subsequent one of the data systems to output a new current matching data set, and to iteratively continue to determine the further accuracy levels for data corresponding to each next subsequent one of the data systems using each new current matching data set as the current matching data set until a cumulative matching data set is generated according to the determined further accuracy levels using all of the data of the data systems,

wherein the inventory platform is further configured to initiate retrieval, from the one or more storage devices, of trouble ticket information relating to the assets from the trouble ticket system, and to generate, with the one or more processors, a list of actual assets based on the trouble ticket information and the cumulative matching data set, and

wherein each of the accuracy levels is determined by comparing the corresponding data for discrepancies, the inventory platform being further configured to determine a cumulative discrepancy data based on the comparisons, and to compare the trouble ticket information with the cumulative discrepancy data to generate the list of actual assets by identifying assets that are present, but associated with a discrepancy due to failure.

14. A system according to claim 13, wherein the accuracy levels are assigned to the plurality of assets.

15. A system according to claim 13, wherein the data systems further includes either a procurement system, a physical provisioning system, a logical provisioning system, an engineering system, a field dispatch system, an accounting system, or a combination thereof.

16. A system according to claim 13, wherein the assets include physical circuits and network equipment of the service provider.

17. A system according to claim 13, wherein the data includes procurement data and financial data.