Method for performance measurement and an analysis of local exchange carrier interconnections

Abstract

Performance measurement and analysis of local exchange carrier interconnections. Performance measurements can be used to establish that an incumbent local exchange carrier (“ILEC”) is providing interconnections to one or more competitive local exchange carriers (“CLEC's”) that are at least equal in quality to the interconnections provided to itself. Performance measurements are defined to measure the timeliness, accuracy and availability of the interconnections provided to the CLEC'S. A performance measurement is based upon performance data that us collected from one of the ILEC's processes (preordering, ordering, provisioning, collocation, billing, maintenance and repair, emergency 911, operator service/directory assistance and trunk blockage). A performance report is defined to specify the types of performance measurements and dimensions that are included, as well as the reporting period.

Description

TECHNICAL FIELD

This invention relates in general to the collection and analysis of data, and more particularly to collecting data to determine a performance measurement that measures an interconnection provided by a local exchange carrier.

BACKGROUND OF THE INVENTION

A local exchange carrier (“LEC”) utilizes many different processes in order to serve its customers. For example, one or more processes typically supports customer ordering. Customer ordering includes the initiation of new service or the modification of existing service. Other processes support maintenance and repair and billing.

At one time, a local telephone market was served by a single LEC. However, local telephone markets now are open to competition from competitive local exchange carriers (“CLEC”). The existing or incumbent LEC (“ILEC”) is required to offer quality interconnection services, resale of capacity at wholesale rates, dialing parity, number portability and unbundled access to its networks to the CLEC's. Although the ILEC is required to satisfy these requirements, there is no established method for measuring the ILEC's compliance. For example, the ILEC has a duty not to prohibit, and not to impose unreasonable or discriminatory conditions or limitations on, the resale of its telecommunications services. However, there is no well-defined method or measurement to insure that this duty is met.

The telecommunications industry and the FCC issued a notice of proposed rule making (“NPRM”) that set forth some model performance measurements for measuring an ILEC's compliance. However, no rules have been promulgated. In addition, some states or public service commissions have attempted to define performance measurements, but either the performance measurements have not been enacted or the performance measurements are not well-defined. Therefore, there is a need to define performance measurements that establish that an ILEC has satisfied the requirements to provide equivalent service to a CLEC.

Once the performance measurements have been defined, then the ILEC must also determine how to collect the required data and present it in a useable format. Because the requirements to provide equivalent service to a CLEC cover a wide range of services, the ILEC must collect data from the various processes that it uses. These processes can be located on systems that are physically separate from one another. In addition, the processes can use data formats that are incompatible. In order to determine the performance measurements, the ILEC must identify the data that needs to be collected. Once the data is collected, the system must then normalize the data or transform the data into a common format so that data from multiple systems can be used to determine the performance measurements. Therefore, there is a need for a method of collecting data from a variety of systems or processes that may be incompatible with one another, normalizing the data and using the data to determine performance measurements.

Although it may be possible for the performance measurements to be determined manually, the manual collection and analysis of data greatly limits the number of measurements that can be taken. In addition, if the system is manually intensive, then it is difficult to alter the types of data that are collected or to alter the types of reports or other analysis that is generated from the data. Thus, the method for collecting, normalizing and analyzing the data should be automated. In addition, the method should be flexible so that the types of data collected and the reports generated can be easily modified.

SUMMARY OF THE INVENTION

The present invention meets the needs described above by providing a method for defining, analyzing and reporting performance measurements. The performance measurements can be used to establish that an incumbent local exchange carrier (“ILEC”) is providing interconnections to one or more competitive local exchange carriers (“CLEC's”) that are at least equal in quality to the interconnections provided to itself.

Typically, performance measurements are defined to measure such things as timeliness, accuracy and availability. The performance measurements can be used to compare the services provided by the ILEC to the CLEC's to the services provided by the ILEC to itself. An ILEC utilizes many different processes to serve its customers. Exemplary processes include preordering, ordering, provisioning, collocation, billing, maintenance and repair, emergency 911, operator service/directory assistance and trunk blockage.

A performance measurement is based upon a calculation that uses performance data collected from the processes. When the performance data is collected, the data is identified with one or more dimensions, such as the geography, entity, product and time dimensions. A dimension defines how a performance measurement is reported.

The method for defining, determining and reporting a performance measurement includes the steps of defining the performance measurement and defining the dimensions for the performance measurement. The method also includes defining the performance data needed to determine the performance measurement. In some instances, the performance data needed to determine a performance measurement is used for other purposes and is thus, available from the process. However, in other instances, the performance data is created or collected especially for the performance measurement. For example, a performance measurement based upon timeliness may require that the process use timestamps when such timestamps were not previously used. If timestamps are required, then the process associates a time-stamp with certain events in order to measure an interval or response time. The method also includes defining the performance reports to specify the types of performance measurements and dimensions that are included, as well as the reporting period. Preferably, the definition of the report can be easily modified to adapt to changes in the requirements, processes or user requests.

The performance data needed to determine the performance measurements is obtained and is used to determine the performance measurement. The performance measurement can be determined using a combination of dimensions. For example, a performance measurement can be calculated for a particular CLEC in a particular geographic area for a particular time period. Once the performance measurement is determined it can be included in the performance report.

A performance measurement and analysis platform (“PMAP”) system supports the collection of performance data, the determination of the performance measurements and the generation of the performance reports. The PMAP system includes source systems, a staging database, a normalized operational data store, a dimensional data store database and a user interface. A number of source systems provide data to the PMAP system. Typically, the source systems correspond to the processes used by the ILEC.

Once the data is collected from the source systems, the data is loaded into a staging database and the data is filtered and normalized. The normalized operational data store is used to validate the data against business rules and data relationships and transform the data to conform to the PMAP data model. The dimensional data store database includes performance measurements which include aggregate and summary data. The PMAP system provides a variety of reporting capabilities. The reports include aggregate and CLEC-specific reports, state and regional reports, and reports directed to the different processes or subject areas.

The PMAP system also creates raw data files that contain detailed information about specific local service requests, service orders trouble tickets and other items that are typically reported. Typically, the raw data is used to recreate performance reports or to enable a user to create a custom report. A user can download raw data files, import raw data files, import raw data files into a program, such as a spreadsheet program, or manipulate the raw data to create a measurement in any of the performance reports.

These and other aspects, features and advantages of the present invention may be more clearly understood and appreciated from a review of the following detailed description of the disclosed embodiments and by reference to the appended drawings and claims.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 is a block diagram illustrating exemplary processes, in accordance with an embodiment of the present invention.

FIG. 2 is a block diagram illustrating exemplary dimensions, in accordance with an embodiment of the present information.

FIG. 3 is a flow chart illustrating the definition of a performance measurement, in accordance with an embodiment of the present information.

FIG. 4 is a block diagram illustrating the processing of performance data, in accordance with an embodiment of the present information.

DETAILED DESCRIPTION OF THE INVENTION

The present invention is directed to a method for defining, analyzing and reporting performance measurements. The performance measurements can be used to establish that an incumbent local exchange carrier (“ILEC”) is providing interconnections to one or more competitive local exchange carriers (“CLEC's”) that are at least equal in quality to the interconnections provided to the ILEC itself. Briefly described, the performance measurements measure the timeliness, accuracy and effectiveness of the interconnections provided by the ILEC. The performance measurements are determined using performance data that is collected from systems associated with the ILEC. Typically, the systems correspond to the processes used by the ILEC to support the interconnections, such as ordering and billing. The collected performance data is normalized and the data is used to determine the performance measurements. The performance measurements are reported using a variety of formats. The performance measurements for a particular CLEC can be reported or performance measurements for all CLEC's can be reported. The performance measurements for one or more CLEC's can also be compared to the performance measurements for the ILEC.

Exemplary Local Exchange Carrier Processes

Typically, a local exchange carrier (“LEC”) utilizes many different processes to serve its customers. The exemplary processes illustrated in FIG. 1 include preordering 100 , ordering 102 , provisioning 104 , collocation 106 , billing 108 , maintenance and repair 110 , emergency 911 112 , operator service/directory assistance 114 , and trunk blockage 116 . As will be apparent to those skilled in the art, different LEC's may have different processes than those illustrated by FIG. 1 . Some LEC's may combine one or more of the processes illustrated in FIG. 1 into a single process or may divide a single process illustrated in FIG. 1 into multiple processes. FIG. 1 also illustrates customer events 118 . The customer events interface directly with some of the processes. In FIG. 1 , the customer events 118 interface with the emergency 911 112 , billing 108 , operator service/directory assistance 114 , and trunk blockage 116 processes.

The preordering process 100 is directed to activities that occur prior to the submittal of a local service request by an LEC. These activities include verifying the customer's street address, determining available products and services, estimating the service interval and reserving a telephone number. Data validation is performed to ensure that the local service request is complete and accurate. Performance measurements directed to the preordering process include the availability of the preordering process and the response time.

The ordering process 102 begins when an LEC enters a local service request and ends when the LEC receives confirmation that an order has been created in the system. Orders may be submitted electronically or via facsimile, telephone or e-mail. Performance measurements directed to the ordering process include availability of order progress information.

The provisioning process 104 includes facilities assignment, software changes, service design, issuance of technician work orders and activation procedures. The provisioning process ends when a billing record is created for the new account, or the billing record is updated if the order is being provisioned for a change order. Performance measurements directed to the provisioning process include the timeliness of service delivery and the accuracy of the services provided to the LEC.

The collocation process 106 includes activities related to placing customer-owned equipment in the ILEC's central office for interconnection to the ILEC's tariffed services and unbundled network elements. Performance measurements directed to the provisioning process include the timeliness of the interconnection.

The billing process 108 includes the activities associated with accumulated usage data and determining the charges to be billed to a customer's account. Performance measurements directed to the billing process include the accuracy and the timeliness of customer invoices.

The maintenance and repair process 110 includes activities directed to responding to a customer's maintenance and repair needs. The maintenance and repair process begins when a customer reports a service problem. A trouble ticket is entered to document the problem. The equipment and facilities are tested to locate the source of the trouble and once the problem is repaired, the customer is notified and the trouble ticket is closed. Performance measurements directed to the maintenance and repair process include the timeliness of the repair and the rate of repeat problems.

The emergency 911 process 112 includes activities that support emergency 911 service. In one embodiment, the emergency 911 process includes database updates to a third party emergency 911 vendor to insure that the vendor has the most up-to-date information for providing emergency service to residents and businesses. In other embodiments, the emergency 911 process is directed to activities that include the actual provision of emergency 911 service. Performance measurements directed to the emergency 911 process include the timeliness and accuracy of the service.

The operator service/directory assistance process 114 includes activities required to provide additional services to the customer, such as directory inquires to retrieve telephone numbers. Performance measurements directed to the operator services process include the timeliness of the service.

The trunk blockage process 116 includes the collection of traffic performance data on the trunk groups in the network. Performance measurements directed to the trunk blockage process include the number of attempted calls and the number of blocked calls.

Definition of Performance Measurements

Performance measurements are defined to demonstrate that an ILEC is providing interconnections to CLEC's that are at least equal in quality to those provided by the ILEC to itself. The performance measurements typically are used to compare the services provided by the ILEC to the CLEC's to the services provided by the ILEC to itself. In some instances a comparison is made between the ILEC and all other CLEC'S. In other instances a comparison is made between the ILEC and a particular CLEC.

Performance measurements are defined to measure such things as timeliness, accuracy and availability. In the exemplary embodiment described herein, the performance measurements are defined to measure activities associated with the different processes described in the preceding section. Typically, a performance measurement is defined as a total, percentage, interval or accuracy measurement. A performance measurement that measures a total is defined to be the sum of a number of events or occurrences. For example, a flow through error analysis performance measurement associated with the ordering process is defined as the sum of errors by type.

A performance measurement that measures a percentage is defined to be an actual number divided by a total or scheduled number and multiplied by 100. For example, the missed repair appointments performance measurement associated with the maintenance and repair process is defined as follows:

Percentage of missed repair appointments=Σ (count of customer troubles not cleared by the quoted commitment date and time)/Σ (total trouble reports closed in reporting period)×100

A performance measurement that measures an interval is defined to be an actual time interval for an event divided by the total number of events.

For example, the average completion interval performance measurement associated with the provisioning process is defined as follows:

Average Completion Interval=Σ[(completion date and time)−(order issue date and time)] /Σ (total orders completed in reporting period)

A performance measurement that measures accuracy is defined to be the percentage of correct events to total events. For example, the invoice accuracy performance measurement associated with the billing process is defined as follows:

 Invoice Accuracy=(total billed revenues)−(billing related adjustments)/(total billed revenues)

Exemplary performance measurements associated with the processes are summarized in the following tables. Each table corresponds to one of the previously described processes and includes the name of the performance measurements and the definition of each performance measurement. In addition, each table includes the dimensions and performance data associated with the process. The dimensions and the performance data can be associated with more than one of the performance measurements in the table.

TABLE 1
PRE-ORDERING PROCESS
Performance			Performance
Measurements	Performance Definition	Dimensions	Data
Average OSS	Σ(Date and Time of	Time	Number of
Response	Legacy Response) −		Legacy
Interval	(Date and Time of		Requests
	Request to Legacy)]/
	(Number of Legacy
	Requests During the
	Reporting Period) × 100
OSS	(Functional Availability)/	Geography	Summation of
Interface	(Scheduled		Response
Availability	Availability) × 100		Interval

TABLE 2
ORDERING PROCESS
Performance	Performance		Performance
Measurements	Definition	Dimensions	Data
Percent	Σ(Total number of	Entity	Total
Flow	valid service requests		Number
Through	that flow through to the		Rejected
Service	ILEC OSS)/(Total		Service
Requests	number of valid		Requests
	service requests
	delivered to the ILEC
	OSS) × 100
Percent	(Total Number of	Time	Total
Rejected	Rejected Service		Number
Service	Requests)/Total		Service
Requests	Number of Service		Requests
	Requests Received) × 100		Received
Reject	Σ[(Date and Time of	Geography	Date and
Interval	Service Request		Time of
	Rejection) − (Date and		Service
	Time of Service		Request
	Request Receipt)]/		rejection
	(Number of Service
	Requests Rejected in
	Reporting Period)
Firm	Σ[(Date and Time of		Date and
Order	Firm Order		Time of
Confirmation	Confirmation) − (Date		Service
Timeliness	and Time of Service		Request
	Request Receipt)]/		receipt
	(Number of Service
	Requests Confirmed in
	Reporting Period)
Speed of	(Total Time in second		Date and
Answer	to reach the Local		Time of
in Ordering	Carrier Service Center)/		Firm Order
Center	(Total Number of		Confirmation
	Calls) in the Reporting
	Period
Flow	Σ of errors by type	Class of	Number
Through		Service/	Service
Error		Product	Requests
Analysis			confirmed
			(in reporting
			period)

TABLE 3
PROVISIONING
Performance	Performance		Performance
Measurements	Definition	Dimensions	Data
Average	Σ[(Completion Date	Entity	Total
Completion	and time) − (Order Issue		Service
Interval	Date and Time)]/Σ		Orders
	(Count of Orders		Completed
	Completed in
	Reporting Period)
Order	Σ(Service Orders	Time	Service
Completion	Completed in “X”		Order
Interval	days)/(Total Service		Completion
Distribution	Orders Completed in		Date and
	Reporting Period) × 100		Time
Mean Held	Σ(Reporting Period	Geography	Service
Order	Close Date −		Order Issue
Interval	Committed Order Due		Date and
	Date)/(Number of		Time
	Orders Pending and
	Past the Committed
	Due Date) for all
	orders pending and
	past the committed due
	date
Held Order	(Number of Orders		Service
Distribution	Held for ≧ “X” days)/		Orders
Interval	(Total number of		completed in
	orders pending but not		“X” Days
	completed) × 100
Average	Σ(Reporting Period	Class of	Committed
Jeopardy	Close Date −	Service/	Order
Notice	Committed Order Due	Product	Due Date
Interval	Date)/(Number of
	Orders Pending and
	Past the Committed
	Due Date) for all
	orders pending and
	past the committed due
	date
Percentage	Σ[(Number of Orders		Number of
of Orders	Given Jeopardy		Service
Given	Notices in Reporting		Orders
Jeopardy	Period)/(Number of		Pending and
Notices	Orders Committed in		Past the
	Reporting Period)		Committed
			Due Date
Percent	Σ(Number of Orders		Number of
Missed	Not Complete by		Service
Installation	Committed Due Date		Orders Held
Appointments	in Reporting		for > = 90
	Period)/(Number of		Days
	Orders Completed in
	Reporting Period) × 100
Percent	Σ(Trouble reports on		Number of
Provisioning	all completed orders ≦		Service
Troubles	30 days following		Orders Held
within 30 days	service order(s)		for > = 15
	completion)/(All		Days
	Service Orders in a
	completed in the report
	calendar month) × 100
Coordinated	Σ[(Completion Date		Total
Customer	and Time for Cross		Number of
Conversions	Connection of an		Service
	Unbundled Loop) −		Orders
	(Disconnection Date		Pending
	and Time of an		But Not
	Unbundled Loop)]/		Completed
	Total Number of
	Unbundled Loop Items
	for the reporting
	period.
Average	Σ(Date and Time of		Number of
Completion	Notice of Completion) −		Service
Notice	(Date and Time of		Orders
Interval	Work Completion)/		missed in
	(Number of Orders		Reporting
	Completed in		Period
	Reporting Period)

TABLE 4
COLLOCATION
Performance	Performance		Performance
Measurements	Definition	Dimensions	Data
Average	Σ(Request Response	Entity	Request
Response	Date) − (Request		Response
Time	Submission Date)/		Date &
	Count of Responses		Time
	Returned within
	Reporting Period
Average	Σ(Date Collocation	Time	Request
Arrangement	Arrangement is		Submission
Time	Complete) − (Date		Date &
	Order for Collocation		Time
	Arrangement
	Submitted)/Total
	Number of Collocation
	Arrangements
	Completed during
	Reporting Period
Percent of	Σ(Number of Orders	Geography	Count of
Due Dates	not completed within		Requests
Missed	ILEC Committed Due		Submitted
	Date during Reporting
	Period)/Number of
	Orders Completed in
	Reporting Period) × 100

TABLE 5
BILLING
Performance	Performance		Performance
Measurements	Definition	Dimensions	Data
Invoice	(Total Billed Revenues	Entity	Total
Accuracy	during current month) −		Local
	(Billing Related		Services
	Adjustments during		billed
	current month)/Total		Revenues
	Billed Revenues during
	current month × 100
Invoice	Σ(total number of	Time	Total
Timeliness	usage records sent		Adjustment
	within six (6) calendar		Revenues
	days from initial
	recording/receipt)/
	Σ(Total number of
	usage records sent) × 100
Usage Data	Σ(total number of	Geography	Summation
Delivery	usage records sent		of Time to
Completeness	within six (6) calendar		Transmit
	days from initial		Invoices
	recording/receipt)/
	Σ(Total number of
	usage records sent) × 100
Usage Data	Σ(Total number of		Total No.
Delivery	usage records sent		of Invoices
Timeliness	within six calendar days
	from initial
	recording/receipt)/
	Σ(Total number of
	usage records sent) × 100
Usage Data	Σ[(Total number of	Class of	Number of
Delivery	usage data packs sent	Service/	Usage Data
Accuracy	during current month) −	Product	Packs Sent
	(Total number of usage
	data packs requiring
	retransmission during
	current month)]/(Total
	number of usage data
	packs sent during
	current month) × 100

TABLE 6
MAINTENACE AND REPAIR
Performance	Performance		Performance
Measurements	Definition	Dimensions	Data
OSS Interface	(Actual System	Entity	Total time
Availability	Functional		in seconds
	Availability)/(Actual		for ILEC
	planned System		Repair
	Availability) × 100		Center
			Response
Average OSS	(Query Response Date	Time	Total
Response	and Time for Category		Number
Interval	“X”) − (Query Request		of Calls
	Date and Time for		Received
	Category “X”)/
	(Number of Queries
	Submitted in the
	Reporting Period) where,
	“X” is 0-4, ≧4
	to 10, ≧10, ≧30 seconds
Average	(Time ILEC Repair	Geography	Count of
Answer	Attendant Answers Call) −		Customer
Time −	(Time of entry into		Troubles Not
Repair	queue until ACD		Resolved by
	Selection)/(Total		the Quoted
	number of calls by		Resolution
	reporting period		Time and
			Date
Missed	Σ(Count of Customer	Interval	Count of
Repair	Troubles Not Cleared by	Distribution	Customer
Appointments	the Quoted Commitment		Trouble
	Date and Time)/Σ(Total		Tickets
	Trouble reports closed in		Closed
	Reporting Period) × 100
Customer	(Count of Initial and		Count of
Trouble	Repeated Trouble		Repeated
Report	Reports in the Current		Trouble
Rate	Period)/(Number of		Reports
	Service Access Lines in		in the
	Service at End of the		Current
	Report Period) × 100		Period
Maintenance	Σ(Date and Time of	Class of	Number of
Average	Service Restoration) −	Service/	Service
Duration	(Date and Time Trouble	Product	Access
	Ticket was Opened)/		Lines in
	Σ(Total Closed Troubles		Service at
	in the Reporting Period		End of the
			Report
			Period
Out of Service	(Total Troubles OOS >24		Total
(“OOS”) >24	Hours)/Total OOS		Duration
Hours	Troubles in Reporting		Time from
	Period) × 100		the Receipt
			to the
			Clearing of
			Trouble
			Reports
Percent	(Count of Customer		Total Out
Repeat	Troubles where more		of Service
Troubles	than one trouble report		Troubles
within	was logged for the same
30 days	service line within a
	continuous 30 days)/
	(Total Trouble Reports
	Closed in Reporting
	Period) × 100

TABLE 7
EMERGENCY 911
Performance	Performance		Performance
Measurements	Definition	Dimensions	Data
Timeliness	Σ(Number of batch	Time	Number of
	orders processed within		Confirmed
	24 hours ÷ Total number		Orders
	of batch orders
	submitted) × 100
Accuracy	Σ(Number of record	Geography	Number of
	individual updates		Orders
	processed with no errors ÷		missed in
	Total number of		Reporting
	individual record		Period
	updates) × 100
Mean Interval	Σ(Date and time of batch		Total
	order completion − Date		Number of
	and time of batch order		SOIR
	submission)/(Number		orders for
	of batch orders		E911
	completed)		Updates

TABLE 8
OPERATOR SERVICES
Performance	Performance		Performance
Measurements	Definition	Dimensions	Data
Average	(Total call waiting	Time	Call Waiting
Speed to	seconds)/Total calls		Seconds
Answer	served)
Percent	(Total number of calls	Geography	Number
Answered	answered within X		of Calls
within “X”	seconds)/(Total calls		served
seconds	served) × 100
Note:
In some embodiments the operator services performance measurements are provided by the operator services process. No raw data is provided.

TABLE 9
TRUNK BLOCKAGE
	Performance	Performance		Performance
	Measurements	Definition	Dimensions	Data
	Trunk Group	(Total number of	Entity	Number
	Service	blocked calls)/(Total		of Trunk
	Report	number of attempted		Groups
		calls) × 100		Measured

Dimensions

A performance measurement is based upon performance data collected from the processes. When the performance data is collected, the data is identified with a particular dimension. A dimension defines how a performance measurement based upon the data is reported. In the embodiment illustrated by FIG. 2 , the primary dimensions include geography 200 , entity 210 , product 220 and time 230 .

The geography dimension permits performance measurements to be calculated based on specific geographic criteria. The geographic criteria shown in FIG. 2 are region 202 , state 204 , MSA (market service area or metropolitan statistical area) 206 and wire center (or switching center) 208 . The entity dimension permits performance measurements to be calculated based on a set of LEC's or a particular LEC. The entities shown in FIG. 2 include aggregate 212 (all CLEC's and the ILEC), CLEC 214 (all CLEC's), ILEC 216 (incumbent LEC), CLEC company 218 (a particular CLEC) and CLEC Identifiers 219 .

The product dimension permits performance measurements to be calculated based upon specific products or services. The products shown in FIG. 2 include LA Product 222 , GA Product 224 and product class 226 . The time dimension permits performance measurements to be calculated based upon certain time intervals. The time dimensions shown in FIG. 2 include year 232 , quarter 234 and month 236 . Multiple dimensions can be used to report performance measurements. For example, a report can be based on a particular region, CLEC and year. As will be apparent to those skilled in the art, other embodiments can include alternative or additional dimensions.

As illustrated in FIG. 2 , a dimension has multiple layers. If a performance report uses a particular layer of a dimension a user can obtain additional detail by accessing a different layer. For example, to obtain additional detail for a report that uses the “year” layer of the time dimension, the user can access the “quarter” layer or the “month” layer.

Method for Defining, Determining and Reporting Performance Measurement

Exemplary steps for defining, determining and reporting a performance measurement are shown in FIG. 3 . In step 302 , the performance measurement is defined. Defining the performance measurement includes defining a quantifiable measure of an interconnection provided by the ILEC. The performance measurements are typically associated with one of the processes of the ILEC. For example, to define a performance measurement for the maintenance and repair process, a performance measurement could be defined to measure trouble reports not cleared by a committed date and time (missed repair appointments measurement, Table 6). The preceding tables include exemplary definitions of performance measurements. In step 304 , the dimensions for the performance measurement are defined. For example, the dimensions for the missed repair appointments measurement includes the entity, geography, product and time dimension.

In step 306 , the performance data needed to determine the performance measurement are defined. The performance data are defined by considering the definition of the performance measurement and the dimensions for the performance measurement. For example, the performance data needed to determine the missed repair appointments performance measurement are the count of customer troubles not cleared by the quoted commitment date and time and the total trouble reports closed in the reporting period. The performance data needed to determine the missed repair appointments performance measurement includes data associated with the entity, geography, product and time dimensions.

In some instances, the performance data needed to determine a performance measurement is used for other purposes and is thus, available from the process. However, in other instances, the performance data is created or collected especially for the performance measurement. For example, a performance measurement based upon timeliness may require that the process use timestamps when such timestamps were not previously used. If timestamps are required, then the process associates a timestamp with certain events in order to measure an interval or response time.

In step 308 , the performance reports are defined. The performance reports are defined to specify the types of performance measurements and dimensions and the reporting period. The reports can be defined by the ILEC, a CLEC that is accessing the system or another entity. For example, if the PSC (public service commission) requires a specific type of report or a report that includes specific information, then the report can be defined to meet those requirements. Preferably, the definition of the report can be easily modified so that the report can adapt to changes in the requirements or processes or user requests.

In step 310 , the performance data needed to determine the performance measurements are obtained. The performance data can be obtained from a number of different source systems associated with the different processes. Additional details about the source systems are provided in the preceding section. In step 312 , the performance data is used to determine the performance measurement. A performance measurement can be determined using a combination of dimensions. For example, the percentage of missed repair appointments can be calculated for a particular CLEC in a particular geographic area for a particular quarter. In step 314 the performance measurement is included in the performance report. The performance report can be a written report or an on-line report.

Performance Measurement and Analysis Platform System

FIG. 4 illustrates the logical layers of data that exist in the performance measurement and analysis platform (“PMAP”) system 401 to support the required measurement and analysis. A number of source systems 400 a , 400 b . . . 400 n provide data to the PMAP system. Typically, the source systems correspond to the processes previously described. The source systems can be existing legacy systems and can use data formats that are not compatible with one another.

In the exemplary embodiment illustrated by FIG. 4 , the LEO system 400 a is a local exchange ordering system, the LON system 400 b is a local order number system, and the EXACT system 400 c is an exchange access control and tracking system. The LEO, LON and EXACT systems all correspond to the ordering process. The SOCS system 400 d is a service order and control system and corresponds to the provisioning process. The WFA 400 e system is a work force administration system and corresponds to the maintenance and repair process.

The CRIS system 400 f is a customer record information system and corresponds to the billing process. The LMOS system is a line maintenance operation system and corresponds to the maintenance and repair process. The TIRKS system 300 h is a trunk integrated record keeping system and corresponds to the trunk blockage process. The SOIR system 400 n is a service order information system and corresponds to the emergency 911 process. As will be apparent to those skilled in the art, alternative or additional source systems may be included. In addition, a single system may provide data for multiple processes.

The data is collected from the source systems by accessing existing databases or by retrieving the data manually. The manual retrieval of information can include receiving data via facsimile or e-mail and may require human intervention to enter the data into the PMAP system 401 .

Once the data is collected from the source systems 400 a , 400 b . . . 400 n the data is loaded into a staging database 402 . When the data is received by the staging database 402 , the data is not normalized. Once in the staging database, the data is filtered and normalized. Data errors are captured and handled in the staging database.

The NODS database 404 is a normalized operational data store. In NODS, the data is validated against the business rules and data relationships and transformed to conform to the PMAP data model. Between the NODS database and the DDS database, the data undergoes an aggregation process.

The DDS database 406 is the dimensional data store database. The DDS database includes performance measurements which include aggregate and summary data. If access to detailed information is required, then the data must be accessed by drilling down into the measurement data by accessing the NODS database 404 or the raw data files 412 as described below.

The PMAP system creates raw data files 412 that contain detailed information about specific local service requests, service orders trouble tickets and other items that are typically reported. Typically, the raw data is used to recreate performance reports or to enable a user to create a custom report. A user can download raw data files, import raw data files, import raw data files into a program, such as a spreadsheet program or manipulate the raw data to create a measurement in any of the performance reports.

The PMAP system 401 provides a variety of reporting capabilities. The reports 410 include aggregate and CLEC-specific reports, state and regional reports, and reports directed to the different processes or subject areas. In one embodiment, the reports can be accessed via a network, such as the Internet. Typically, a user is provided with a user ID and a password in order to access the reports (and the raw data). A user generally is permitted to access reports and data related to all CLEC's and the CLEC associated with the user, but generally is not permitted to access reports and data related to another CLEC. A user associated with the incumbent LEC can be provided with broader access to the data. As will be apparent to those skilled in the art, other types of reports and other methods of reporting can also be used with the PMAP system 401 .

Additional alternative embodiments will be apparent to those skilled in the art to which the present invention pertains without departing from its spirit and scope. For example, additional or alternative performance can be used or the definition of the performance measurements described can be modified. Accordingly, the scope of the present invention is described by the appended claims and is supported by the foregoing description.

Claims

1. A method for determining a set of performance measurements for interconnection of a competitive local exchange carrier to an incumbent local exchange carrier's network, comprising:defining a first performance measurement that measures timeliness of the incumbent local exchange carrier's response to a first request from the competitive local exchange carrier, the first performance measurement based on a first set of data provided by the incumbent local exchange carrier; collecting the first set of data from a first process of the incumbent local exchange carrier; using the first set of data to determine the first performance measurement; and providing the first performance measurement to the competitive local exchange carrier.

2. The method of claim 1, further comprising:defining a second performance measurement that measures accuracy of the incumbent local exchange carrier's response to a second request from the competitive local exchange carrier, the second performance measurement based on a second set of data provided by the incumbent local exchange carrier; collecting the second set of data from a second process of the incumbent local exchange carrier; using the second set of data to determine the second performance measurement; and providing the second performance measurement to the competitive local exchange carrier.

3. The method of claim 2, wherein the second process is a collocation process.

4. The method of claim 1, wherein providing the first performance measurement to the competitive local exchange carrier comprises providing a performance report via a network.

5. The method of claim 1, further comprising:providing the first set of data to the competitive local exchange carrier.

6. The method of claim 1, wherein the first process is a provisioning process.

7. A method for determining a performance measurement, comprising:defining the performance measurement for an interconnection provided by a local exchange carrier, the performance measurement relating to a service provided by the local exchange carrier to a competitive local exchange carrier; defining the performance data needed to determine the performance measurement for the local exchange carrier and the competitive local exchange carrier; obtaining the performance data from a process of the local exchange carrier; and using the performance data to determine the performance measurement for the local exchange carrier and the performance measurement for the competitive local exchange carrier; so that the performance measurement for the local exchange carrier can be compared to the performance measurement for the competitive local exchange carrier.

8. The method of claim 7, further comprising:defining a dimension corresponding to the performance measurement.

9. The method of claim 8, wherein the dimension is based upon a product or service provided by the local exchange carrier.

10. The method of claim 7, wherein obtaining the performance data from a process of the local exchange carrier comprises obtaining the performance data from an ordering process.

11. The method of claim 7, wherein obtaining the performance data from a process of the local exchange carrier comprises obtaining the performance data from a maintenance and repair process.

12. The method of claim 7, further comprising:providing a performance report that includes the performance data to the competitive local exchange carrier.

13. A method for creating a performance report that provides information about an interconnection provided by a local exchange carrier, comprising:defining a performance measurement based on performance data from a process of the local exchange carrier for the interconnection; defining a dimension for the performance measurement; obtaining the performance data corresponding to the performance measurement and the dimension; and using the performance data to create the performance report.

14. The method of claim 13, wherein the dimension is based upon geography.

15. The method of claim 13, wherein the performance measurement is related to timeliness.

16. The method of claim 13, wherein the performance measurement is related to accuracy.

17. The method of claim 13, wherein the performance measurement included in the performance report relates to all competitive local exchange carriers served by the local exchange carrier.

18. The method of claim 13, wherein the performance report compares the performance measurement for the local exchange carrier to the performance measurement for a competitive local exchange carrier.

19. The method of claim 13, wherein the process is an emergency process.

20. The method of claim 13, wherein the process is a billing process.