9 in 10 telcos go Hadoop to fight revenue fraud
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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.
Questions & Answers
Q.What is driving the increased adoption of Apache Hadoop in the telecoms sector?
What is driving the increased adoption of Apache Hadoop in the telecoms sector?
Telecoms revenue fraud is the primary driver for increased Apache Hadoop adoption among telco and enterprise users. Communication service providers collectively lose around $38 billion to fraud each year, prompting the need for better prevention methods.
Q.What percentage of organisations surveyed are already using or plan to use Hadoop for fraud prevention?
What percentage of organisations surveyed are already using or plan to use Hadoop for fraud prevention?
The survey conducted during a recent webinar indicated that over 90% of attending organisations either already use or intend to use Hadoop for fraud prevention. Approximately one-third (34%) of attendees already have Hadoop implemented.
Q.What improvement can mobile operators expect from the new fraud prevention platform?
What improvement can mobile operators expect from the new fraud prevention platform?
The new platform promises to deliver up to a 350% improvement over traditional rules-based offerings. It achieves this by enabling mobile operators to detect previously undiscoverable revenue threats, reducing overall financial loss.
Q.How does the Cloudera and Argyle Data platform help prevent fraud?
How does the Cloudera and Argyle Data platform help prevent fraud?
The platform uses a native Hadoop architecture, combined with real-time data ingestion, analytics, and machine learning. This setup allows for the detection of sophisticated revenue threats and provides telco fraud analysts with immediate return on investment.
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