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OSS Reconcilation
  » OSS vs Actual Network
  » Circuit Reconciliation
  » Reconciliation Process
  » Reconciliation Data Flow
  » Exception Reporting


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  » Net Sync
  » Net Load
  » TechView
  » Proof-of-Concept [POC]

Measuring Success
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Reconciliation Activities
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Error Analysis
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Financial Metrics
  » 
Process Metrics

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Maximizing Carrier Profitability & Efficiency

Presently, BottomLine Data Solutions (BDS) offers Carriers three Solutions that involve the movement of data to/from a foreign data environment (i.e.: provisioning system, leased line database, fixed asset record, billing system, etc.). These Solutions are Net Sync, Net Load, and Net Trak™.

Understanding how the system (OSS - Operations Support Systems) data flows through the respective BDS Solution is critical to comprehending the ultimate reconciliation process. This page provides both a visual, and brief narrative explanation of the data flow process attributed to each Solution.


 

Figure 1: Net Sync

NET SYNC DATA FLOW

Data enters the Net Sync environment (Step 1A above) through API import (i.e.: MetaSolv), and/or mapping via the WiseExtract module of the BottomLine CircuitWise software. Auto-poll equipment and cross-connect data (Step 1B) is also received by WiseExtract, with all data then being stored in the NetSync Database (Step 2). In Step 3, Network Facility equipment and circuit audit files and equipment catalog files are produced in support of field equipment and circuit validation activities. During Step 4, the field validation activities are completed, with the post-audit data (Step 5) then being electronically transmitted back to the Net Sync Database for reconciliation purposes (Step 6). In Step 7, the WiseAnalyze Reconciliation Engine analyzes the OSS data (pre-audit) in relation to the post-audit data to arrive at the exceptions (Step 8). In Steps 9A/9B, exceptions are validated by a qualified Data Administrator who then either pushes corrections back into the OSS (assuming no conflict) and/or makes corrections directly from the WiseAnalyze exception reports.

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Figure 2: Net Load

NET LOAD DATA FLOW

Although the data flow within Net Load may appear quite similar to that of Net Sync, Net Load has been designed with a very different purpose. With Net Load, the ultimate repository of the validated equipment and/or circuit data may be completely or largely empty. Net Load is intended to support:

1. Greenfield system implementation
2. Targeted data update or introduction
3. System conversion
4. System upgrade
5. Load of acquired network properties
6. Load of individual network locations

That being said, here network equipment and circuit configurations are produced essentially "from scratch". Therefore equipment specification/parts catalog data only (Step 1 above) enters the Net Load environment either through API import (i.e.: MetaSolv), and/or mapping via the WiseExtract module of the BottomLine CircuitWise software. Auto-poll equipment and cross-connect data (Step 1B) is also received by WiseExtract, with all data then being stored in the NetSync Database (Step 2). In Step 3, Network Facility and equipment catalog files are produced in support of field equipment and circuit data gathering activities. During Step 4, the field validation activities are completed, with the post-audit data (Step 5) then being electronically transmitted back to the Net Load Database for processing (Step 6). In Step 7, the WiseAnalyze Reconciliation Engine processes the audit data and prepares it for OSS data load (Step 8). In Steps 9A/9B, reports are validated by a qualified Data Administrator who then either pushes the now complete site equipment and circuit configuration data into the OSS (assuming no conflict) and/or makes corrections directly from the WiseAnalyze exception reports.

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Figure 3: Net Trak

NET TRAK DATA FLOW

The Net Trak data flow process includes four sequential categories (or "clusters") of activity:

A. OSS Import: here all salient data sources are identified that contain equipment and other material requiring asset management. In the early stages of Net Trak implementation, asset/material data can originate from a variety of OTS (Off-the-Shelf) and custom systems - Fixed Asset Systems (ex: Oracle Financials), Excel Spreadsheets, Home Grown Systems (i.e.: Access databases), Provisioning Systems (MetaSolv, TIRKS, etc.) and so forth. The goal is to get all of this disparate data in a single, manageable location - the Net Trak Environment.

The WiseExtract module of the Net Trak Solution serves as the primary system interface for mapping OSS data into the Net Trak Database. Should the client be a MetaSolv customer, equipment data can be automatically transferred via API integration (specifically, the Inventory Capacity Management API).

B. Net Trak Environment: Net Trak's primary objective is to monitor the location and status of each asset as it moves throughout the Asset Life Cycle. Net Trak also seeks to serve as a single data repository for storing and managing asset activity. The Solution includes a mobile computing module, MobileMap, which leverages scanning technology. Net Trak includes the WiseAnalyze reconciliation engine that produces highly valuable, intuitive asset management reports.

C. Remote Equipment Locations: the MobileMap application is designed to reside on a Technician's laptop, that is used in the field to rapidly capture changes in asset status and movement electronically. The MobileMap user relies upon a common decoding scanner (or low cost wand) that is used to rapidly introduce and/or validate asset tags, serials numbers, CLEI heci bar codes, and so forth. It is also possible to implement the mobile platform in a PDA environment.

D. Database Update: optionally, a variety of OSS' can interface with Net Trak to serve as the primary asset management database - with Net Trak serving as the conduit between the field and the back office. For instance, it is possible to use MSS and a variety of other systems (i.e.: Remedy) to serve as the asset management hub. Here, BDS can either produce the Oracle output files for handoff or assist in direct integration.

 

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All material Copyright© 2004 BottomLine Data Solutions, Inc.