Billing Performance Enhancement of a Pricing and Billing Engine

  Hari Rajan A

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)

Keywords-

Unique Identification Number - IJEDR1502239
Page Number(s) - 1467-1469
Pubished in - Volume 3 | Issue 2 | May 2015
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Hari Rajan A,   "Billing Performance Enhancement of a Pricing and Billing Engine", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.3, Issue 2, pp.1467-1469, May 2015, Available at :http://www.ijedr.org/papers/IJEDR1502239.pdf