Rate Center Boundary Mapping System for CLEC Data Accuracy
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Solution Overview
Problem
Competitive local exchange carriers (CLECs) face difficulties in accurately determining rate center boundaries, leading to rejected new customer orders due to inaccuracies in geographic phone data mapping, which delays service provision and incurs costs.
Innovation Solution
A rate center boundary location system that correlates subscriber data with public data using a combination of data filtering, correlation, and GIS software to produce geo-encoded map data, accurately depicting rate center boundaries and associated telephone number locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If CLECs use traditional mapping methods to determine rate center boundaries, then the process is simple, but accuracy is poor leading to rejected customer orders
Solution Approach 1:
The patent combines multiple data sources (subscriber data, public data, mapping information) and processing methods (data filtering, correlation analysis, GIS software) into an integrated system. This merging of diverse elements resolves the contradiction by achieving high accuracy through comprehensive data correlation while managing complexity through systematic integration rather than isolated complex components.
Solution Approach 2:
The patent introduces mapping information as an intermediary layer between raw subscriber data and rate center boundary determination. This intermediary mapping information facilitates accurate boundary identification by providing a structured framework for correlation, resolving the accuracy-complexity contradiction by adding a mediating data layer rather than directly complexifying the determination process.
2Reliability
If CLECs accurately determine rate center boundaries using multiple data sources, then customer order accuracy improves, but processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary data filtering and correlation setup before actual rate center boundary determination. By pre-processing and organizing mapping information and subscriber data in advance, the system reduces the computational burden during customer order processing, thus improving reliability while minimizing time loss through advance preparation.
Solution Approach 2:
The patent replaces traditional manual or simple automated mapping methods with GIS (Geographic Information System) software and correlation processing. This substitution introduces more sophisticated computational tools that, while requiring more resources, provide automated and consistent processing that reduces human error and improves reliability through systematic algorithmic approaches.
3Measurement precision
If CLECs use detailed mapping information to determine rate center boundaries, then mapping accuracy improves, but data processing complexity increases
Solution Approach 1:
The patent extracts and isolates mapping information as a separate, dedicated data component from the overall subscriber data. By taking out mapping information as a distinct element, the system can process it with specialized algorithms while keeping other data processing relatively simple, thus improving mapping accuracy without proportionally increasing overall system complexity.
Data Source
AI summary
A call center mapping system and method. Subscriber phone number data and general phone number data are acquired for a geographic area. The subscriber phone number data includes a location code. The general phone number data includes information that associates the number with a carrier type. The subscriber phone number data and the general phone number data are matched to filter and to carrier types that are identified as unreliable predictors of the location of a call center. The filtered data are compared to subscriber address data. The subscriber address data include an address of a subscriber and the location code. The subscriber address data are related to the filtered data 115 using the location code. The resulting data are related to map data to produce geo-encoded map data. The geo-encoded map data relates a physical location to a telephone number and a rate center. A geo-coding processor identifies a rate center boundary by projecting a line between subscriber locations based on the rate center name. The rate center boundary may be rendered on a map that may be graphically displayed or printed.