8/6/2019 Comarch Billing Quality Assurance - Leaflet

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Seek & destroy every crack in your revenue pipe

Comarch Billing Quality Assurance

Figure 1. The revenue assurance process

Functional overview

Comarch Billing Quality Assurance (BQA) is a modern tool dedicated to detecting revenue

leakage in operators order-to-cash processes. The solution identifies revenue leaks by

monitoring and verifying all critical stages of rating and billing processes.

File- and field-level validation

To work effectively, Comarch Billing Quality Assurance requires proper input data,

representing rating and billing configuration and usage records. If this data is too limited,

certain errors may pass unnoticed. In order to obtain a representative sample, CDRs/EDRs

are filtered with specific testing assumptions, such as a subscriber control group, products

or timestamp of call/event (at the turn of the year, month, day, billing period, peak time, at

the end of a subscription).

During the file / field verification process, various correlation and deduplication errors can

be detected, e.g. missing CDRs, uncorrelated CDRs representing one call or duplicates(originating in the network, mediation or IN itself). Furthermore, the system performs other

off-the-shelf processes such as feed validation, file name checking and data enrichment.

Rating / billing verification

Comarch BQA is based on components that support multi-service, multi-industry

convergence, which allows to perform advanced rating and billing verification. Such

flexibility enables modelling all the elements of the product catalog from the legacy

system. Thanks to an intuitive GUI any changes in configuration can be performed by QA

departments, improving time-to-market for new products.

Benefits

Shorter testing processes of products,

tariff plans and bundles (from weeks to

days)

Reduction in revenue leakage

6-fold increase in RA departments

productivity

Increased efficiency of discrepancies

recovery

Reduction of customer service costs

Decrease of over-billing resulting in

improved customer satisfaction and

reduced churn

Key features

Convergent on 3 levels: account, invoice,

system

xDRs filtering and discarding

Validation of xDR data

List of all of the events related to

a chosen discrepancy

Alarm generation and prioritization

according to user settings

Discrepancy aggregation

Notification mechanisms

On-line testing

Discrepancies statistics, drill-down

navigationMass management of conflicting records

Verification of guiding and invoicing

file/field levelvalidations

Rating/billingcomparison

Alarmsand reportsgeneration

CDR

ExternalCDR

sources

CDRM

ediation

Rating

&billing

en

gine

Verif

ication

en

gine

Analysingand

reportingengine

Legacy billingExternal

push scripts

Legacy-ratedCDRs

CDR CDR Bills Diff Rep

Local storageBQA pull

scripts

Filestorage

IN

Filestorage

OUT

ValidatedCDRs

Bill positionsand summary

Detecteddifferences

Discrepancyreports/alarms

Ratingand billingcalculation

Legacy-ratedCDRs

Local storage

8/6/2019 Comarch Billing Quality Assurance - Leaflet

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Comarch Spka Akcyjna with its registered seat in Krakw at

Aleja Jana Pawa II 39A, entered in the National Court Register

kept by the District Court for Krakw-rdmiecie in Krakw, the

11th Commercial Division of the National Court Register under no.

KRS 000057567. The share capital amounts to 8,051,637.00 z. The

share capital was fully paid, NIP 677 00 65 406

Copyright Comarch 2010. All Rights Reserved.

EN-2011.05

Comarch SA

Al. Jana Pawa II 39 a

31-864 Krakw

Poland

phone: +48 12 64 61 000

fax: +48 12 64 61 100

e-mail:info@comarch.com

About Comarch:

Comarch is a global supplier of IT products and

services for the telecommunication industry.

The companys flexible solutions are industry

standard compliant and developed in-house.

Comarch solutions constantly evolve based on

customer demand. Since 1993, the company

has accumulated experience and knowledge

in the fields of designing, implementing, and

integrating IT solutions. Comarch serves some

of the markets largest players - such as Telekom

Deutschland (former T-Mobile Germany), T-Mobile

Austria, E-Plus Germany, Vodafone Germany and

Telefnica O2 Germany, as well as companies from

the KPN and France Telecom groups. Comarch

provides COTS products in the areas of BSS,

CRM, OSS as well as a range of comprehensive

services.

comarch.com comarch.pl comarch.de

www.telecoms.comarch.com

Depending on the scope of the data available in the rated xDRs, the system can perform

automated verification of a final price, usage (in seconds, bytes or units), call/event cost

before discount, included/free units requested and assigned, used discount, amount of

tax (the final amount, but also the method of calculating tax), extension prefix, as well as

whether the consumption has been done within peak time or not.

Comarch Billing Quality Assurance also enables verification of guiding (matching usage

data to subscribers), subscriber data such as balance (amount and continuity), contracted

products/bundles and generated invoices.

Analyzing and reporting discrepancies

All discrepancies detected during verification are analysed in order to recognize the most

important ones and accordingly prioritize corrective actions. To support this sub-process,

many statistics are available in Comarch BQA, that show sums of aggregated differences

according to several dimensions, helping pinpoint the source of the discrepancy:

Service (voice, SMS, MMS, data)

Tariff/Option/Concession/Bundle

Recurring/Usage-based charge

Any other xDR field

These statistics are available to users via dedicated screens, and provide flexible, context-

based navigation between various objects in the configuration, in order to facilitate the

search for the root cause of the discrepancy.

After distinguishing the cause of a single discrepancy, it is possible to mark all the

discrepancies related to this cause (e.g. every record that was rated with the use of a faulty

rating element) as dealt with, in order to speed up the entire process. Also, if the identified

root cause cannot be fixed (immediately or in the near future), application configuration

can be easily changed, to treat such recognized errors in a specific manner, so they do

not interfere with tracking further problems.

Figure 2. Aggregated differences