Telecoms revenue fraud is a primary driver for increased Apache Hadoop adoption, according to a recent poll of telco and enterprise users by Cloudera and Argyle Data.
Communication service providers lose around $38 billion to fraud every year.
Conducted during a recent webinar to introduce Cloudera and Argyle Data's joint fraud prevention platform, the survey indicated that over 90% of attending organizations already use or intend to use Hadoop for fraud prevention.
About one-third (34%) of attendees said they already have Hadoop in place and may use the platform in their fraud prevention efforts.
"Fraud prevention is a textbook use case for Hadoop-based analytics because the ROI is immediately visible," said Vijay Raja, solutions marketing manager at Cloudera. "Real-time machine learning relies on large amounts of data to detect sophisticated revenue threats, making Cloudera the ideal platform on which to run Argyle Data's threat analytics."
The platform enables mobile operators to reduce loss by detecting previously undiscoverable revenue threats, promising to deliver up to 350% improvement over rules-based offerings. The platform uses a native Hadoop architecture, combined with real-time data ingestion, analytics, and machine learning.
"Unsupervised machine learning delivers everything telco fraud analysts need to be efficient at and deliver immediate ROI," said Arshak Navruzyan, vice president of product management at Argyle Data. "The Cloudera-Argyle Data solution interoperates seamlessly with all participants in the Hadoop cluster.