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Reseach Article

Optimization of Revenue Assurance and Fraud Management System by Designing New KPIs: Case PTCL

by Umar Mushtaq, Md Khalil Shahid
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 89 - Number 8
Year of Publication: 2014
Authors: Umar Mushtaq, Md Khalil Shahid
10.5120/15520-4129

Umar Mushtaq, Md Khalil Shahid . Optimization of Revenue Assurance and Fraud Management System by Designing New KPIs: Case PTCL. International Journal of Computer Applications. 89, 8 ( March 2014), 8-11. DOI=10.5120/15520-4129

@article{ 10.5120/15520-4129,
author = { Umar Mushtaq, Md Khalil Shahid },
title = { Optimization of Revenue Assurance and Fraud Management System by Designing New KPIs: Case PTCL },
journal = { International Journal of Computer Applications },
issue_date = { March 2014 },
volume = { 89 },
number = { 8 },
month = { March },
year = { 2014 },
issn = { 0975-8887 },
pages = { 8-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume89/number8/15520-4129/ },
doi = { 10.5120/15520-4129 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:08:41.047582+05:30
%A Umar Mushtaq
%A Md Khalil Shahid
%T Optimization of Revenue Assurance and Fraud Management System by Designing New KPIs: Case PTCL
%J International Journal of Computer Applications
%@ 0975-8887
%V 89
%N 8
%P 8-11
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With increasing company dependence upon Revenue Assurance and Fraud Management (RAFM) processes and the rising complexities in sustaining an efficient RAFM structure, companies require a greater focus upon improving and integrating new elements into existing RAFM dynamics. Telecommunication companies are some of the most vulnerable businesses in the world when it comes to fraud and they are profound to ensure that all of its RAFM activities and processes are managed in a centralized fashion to ensure a complete end-to-end acuity across the organization. The main objectives of this paper are: Analysis of existing Key Performance Indicators (KPIs) of RAFM system, Identification of sources of revenue leakages and frauds in existing RAFM system and Designing of new KPI for optimizing RAFM system. This research will assist to improve RAFM practices and processes in order to guarantee that all revenues and profits are optimized for the business and the maximum value is delivered.

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Index Terms

Computer Science
Information Sciences

Keywords

Optimization Revenue