The leading telecom provider in the Maldives is implementing a solution to prevent revenue leakage caused by fraud and billing inaccuracies across its mobile and fixed line networks...
The leading telecom provider in the Maldives is implementing a solution to prevent revenue leakage caused by fraud and billing inaccuracies across its mobile and fixed line networks. Dhiraagu is using MACH’s Revenue Protection solution due to its unique “in memory computing” functionality, which substantially reduces the overall time required to detect and stop any type of revenue leakage.
Operators worldwide have become increasingly vigilant of revenue leakage in recent years. According to Juniper Research, fraud and revenue leakage caused by billing inaccuracies cost the mobile industry US$58.4 billion in 2011. The firm has suggested that this could reach as much as US$296 billion by 2016, or 23% of total revenues, if appropriate measures are not taken.
Avnish Jindal, CFO at Dhiraagu, commented: “The platform provides us with strategic insight into our business, enabling us to reduce costs and improve efficiency across the board.”
Rasmus Holst, Senior Vice President, Market Offering, MACH, concluded: “With increasing fraud activity and greater competition in the telecoms industry, tightening up on revenue leakage is an absolute necessity. By combining business intelligence capabilities within the Revenue Protection platform, operators can evaluate process efficiency, revenue, cost and profit margins at more discrete levels, such as by bundle, offer, product, device or partner.”
The platform can be adopted via a licensed software model or as a cloud-based, managed service. Cloud-based managed services, in particular, provide an innovative delivery angle, eliminating CAPEX and tying OPEX directly to operational requirements.
The platform supports a full suite of functions to minimise revenue leakage, including domestic and international fraud management, revenue assurance and data retention. Many different types of operator data can be processed in near real-time, enabling MACH to identify problems rapidly and quickly mitigate any potential financial damage.
