Argyle Data Signs Saab Grintek Technologies to Bring Revenue Threat Analytics to South African Mobile Communications Providers

Leading Solutions Integrator to Provide Hadoop + Real Time Machine Learning Application to Telecommunications Customers

Feb 22, 2016, 05:00 ET from Argyle Data

SAN MATEO, Calif. and BARCELONA, Spain, Feb. 22, 2016 /PRNewswire/ -- At Mobile World Congress 2016, Argyle Data, the leader in native Hadoop applications for revenue threat analytics in mobile communications, announced it has signed a reseller agreement with telecommunications solutions integrator Saab Grintek Technologies (SGT) to provide Argyle Data's application suite in South Africa to its mobile communications customers.

The agreement with SGT continues Argyle Data's rapid expansion of its global partner base and gives the company its first foothold in South Africa.  SGT specializes in the design and deployment of multi-technology systems for mobile broadband and converged solutions providers, and is a leading provider of integrated, innovative solutions across the entire spectrum of telecommunications.

"Saab Grintek has a well-deserved reputation for its thought leadership in identifying next generation technology to solve telecommunications carriers' most pressing issues," said Sam Moloi, Manager, Forensic Services, Corporate Security at leading African mobile communications company Vodacom South Africa. "Their world-class systems integration capabilities and use of leading edge solutions such as Argyle Data's fraud analytics application provide unique value to the carrier community in South Africa."

Each year Africa's mobile/cellular carriers lose the equivalent of almost one and three quarter billion US dollars through theft of service and related frauds, according to Falcon Business Research.  Estimates indicate that between 1% to 3% of mobile revenues are unbilled and 2% to 6% of billed revenues are unpaid. Prevention of fraud and revenue loss is a major priority for telecommunications providers in Africa.

"The growing complexity and innovation in communications services is mirrored by the increasingly sophisticated use of technology by fraudsters; these require new approaches to keep pace with evolving challenges," said Jai Perumal, General Manager, Managed Applications at Saab Grintek. "There is already excitement among our telecommunications customers that we have added Argyle Data's proven fraud analytics application to our portfolio."

Argyle Data's system is used by some of the world's largest mobile operators to gain real-time visibility into revenue threats and attack patterns, which cost the mobile communications industry an estimated U.S. $38 billion a year. Argyle Data's is the first in a new generation of native Hadoop applications that exploit the power of machine learning to uncover critical insights in real-time from vast data lakes.

"Research from the Communications Fraud Control Association shows major growth in both International Revenue Share Fraud and Premium Rate service fraud, which in Africa is over 33% of the total," said Vikash Varma, President and CEO at Argyle Data. "The other major element of fraud is around subscription and dealer fraud which contributes to over 29% of the total in Africa. Our approach of using machine against a vast data lake has already been proven to dramatically improve detection rates, while reducing false positives in these specific areas of fraud. We are very pleased to enter into this new agreement, partnering with Saab Grintek to bring a new generation of native Hadoop applications to South African carriers."

About Saab Grintek Technologies

Saab Grintek Technologies (SGT) is a subsidiary of Saab South Africa, who owns 70% of the share whilst the remainder 30% is owned by Freetel Telecommunications – SGT's BEE partner. Saab South Africa is a subsidiary of Saab AB Sweden.

About Argyle Data

Argyle Data is used by the world's leading mobile operators to detect the fraud, profit, and SLA threats that cost the industry $38 billion per year. Argyle Data's industry leading native Hadoop application suite uses the latest Hadoop and machine learning technologies, proven at Facebook and Google, to identify the revenue threats and attack patterns being waged against mobile networks in real time.

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