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Customer Story

RingCentral: Quality of Service and Fraud Detection in Real Time

StreamSets Customer - Ring Central
“The challenge for us was to actually take all of that information and weave it together, to give us a 360-degree view of a conference call.”
Michael Becker, Senior Director of Big Data, RingCentralWatch Now
999 k/sec
call detail records ingested

Real-time

fraud detection

999 °
customer visibility

Building a Customer 360 Data Lake

RingCentral is an award-winning global provider of cloud-unified communications. In today’s universally mobile world, this means giving their customers collaborative communications on any device, anywhere, anytime. 

To keep pace with rapid growth and adoption of modern analytics, RingCentral needed a data platform and management environment that could scale rapidly, and support a variety of structured and unstructured data. They adopted StreamSets for rapid ingestion into an enterprise data lake, and to manage pipelines in support of analysts and engineers.

Not only is the business using data in expected ways, such as addressing quality-of-service issues in real-time, but new uses have emerged. Machine learning models applied to data enables predictive analytics for proactive customer service. Insights led the team to uncover indications of fraud and cut response time from days to hours.

Learn How
RingCentral Continuous Data For Real-time Quality Of Service And Fraud Detection

Featured Resources

Customer Story

RingCentral Case Study

Customer Story

DataOps for Quality-of-Service and Fraud Detection at RingCentral

DataOps for QoS, Product Analytics, and Fraud Detection at RingCentral

Customer Story

RingCentral Scales Out with StreamSets

RingCentral Scales Out with StreamSets

What Can You Do with DataOps?

Modernize your data integration with the StreamSets DataOps Platform.

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