MACH has announced new fast-track versions of its Fraud Management (FAME) and Revenue Assurance (Cashback) that can be rolled out in weeks, not months. This new deployment timescale, only available with Rapid-FAME and Rapid-Cashback, enables telecoms network operators to significantly reduce revenue leakage in just eight to ten weeks, while they also benefit from lower upfront capital expenditure and a faster return on investment.
Network operators worldwide have become increasingly vigilant for revenue leakage in recent years. According to Juniper Research, losses from fraud and billing inaccuracies could reach as high as US$296 billion by 2016, or 23% of total operator revenues. However, large scale fraud management and revenue assurance implementations often come at a high cost, with project risk and uncertain return on investment (ROI). With increasing constraints on resources, operators are seeking a less complex approach to revenue protection.
In contrast, MACH’s Rapid-FAME and Rapid-CASHBACK solutions specifically target the top 25 to 30% of revenue leakage in any network. By monitoring only two or three operator data feeds, rather than all of them, the primary sources of revenue leakage can be identified and stopped quickly. For example, an operator’s roaming data specifically could be monitored to combat roaming fraud, or a particular switch data analysed to prevent domestic fraud.
Joseph George, director of revenue protection and interconnect at MACH, commented: “Our customers were crying out for revenue protection solutions that were simple to configure and fast to implement. Using our Rapid-FAME and Rapid-Cashback solutions at a comparatively small capital expense, operator staff can now quickly demonstrate to senior management the business value that fraud protection and revenue assurance solutions can bring. With a proven ROI, a robust business case can then be made for the deployment of full revenue protection. We also aim to give our customers flexibility in how they deploy these platforms: whether via a licensed software model or as a cloud-based, managed service.”
