Billing Performance Enhancement of a Pricing and Billing Engine
miRevenue is a pricing and billing engine that focus on enabling banks to deliver
sustainable revenue enhancement to their targeted business needs. miRevenue has
billing process that runs on the required accounts on the specific date.
As part of the billing process the system processes Billing Groups. Billing
Group is a collection of Charge Records for the purposes of preparing data for
generating Settlements, and indirectly, Statements. A Billing Group is related to a
Billing Preference through the Billing Profile. A Billing Profile is structure for
associating the Billing Profile Key to Billing Groups, Statement Groups, and various
preferences for the purpose of enabling a flexible configuration for the Settlement and
Statement processes. A Billing Preference specifies the settlement and statement
frequencies and a billing process offset, settlement offset and statement offset.
Currently, during the billing process, the preference associations associated
with the accounts are fetched on the fly. The system currently maintains a hierarchy
which starts from Entity Group and then Customer and then Portfolio and then
Account. So, if a specific account does not any preference associations attached it
looks in its parents and uses the preference association it gets from there. This process
continues till the root level i.e., the Entity Group. This preference association fetching
can take time depending up on the level at which each account has its association
configured i.e., billing process is dependent on this.
The proposed work is to do a research on how the pricing and billing engine
works now and there by design a new algorithm, which is in line with the working
principle of miRevenue, which would have all the preference associations ready
before hand itself. Once this design is implemented, the billing process will be
independent of the preference associations of the accounts processed and will be
completed in the required time interval.
The purpose of the research is to gain banking domain knowledge and enhance
the pricing and billing engine.
The methodology that would be adopted to do the research would be as
follows:
1) Learn the working principle of the product.
2) Learn how the billing process currently runs.
3) Learn how the preference associations are attached or fetched now.
4) Design a new algorithm that would have the preference
associations ready before hand (i.e, before the billing process)
Hari Rajan A. "Billing Performance Enhancement of a Pricing and Billing Engine".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.3, Issue 2, pp.1467-1469, URL :https://rjwave.org/ijedr/papers/IJEDR1502239.pdf
Volume 3 Issue 2
Pages. 1467-1469
