Abstract: Revenue leakage is one of the major concerns of telecom operators worldwide. There are several reasons for revenue leakage including frauds, data loss, poor utilization of network infrastructure, and churn. With the growth in subscriber base and increased competition in the market space, the lack of control on revenue leak could potentially affect the profit margins drastically. The operators are ever looking for solutions that could limit the various aspects of the revenue leakage. A system and method for addressing revenue leakage due to data loss in general and incomplete/partial data in particular needs to handle the issues related to the obtaining of additional information so that incomplete/partial data records lead to additional billing opportunity for the operators.

Abstract: Revenue leakage is one of the major concerns of telecom operators worldwide. There are several reasons for revenue leakage including frauds, data loss, poor utilization of network infrastructure, and churn. With the growth in subscriber base and increased competition in the market space, the lack of control on revenue leak could potentially affect the profit margins drastically. The operators are ever looking for solutions that could limit the various aspects of the revenue leakage. A system and method for addressing revenue leakage due to data loss in general and incomplete/partial data in particular needs to handle the issues related to the obtaining of additional information so that incomplete/partial data records lead to additional billing opportunity for the operators.