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

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

RingCentral had several strategic goals that involved leveraging data insights, but the volume of data and complexity of data formats, such as CDR (Call Detail Records), made ingesting data, managing data pipelines and applying analytics a real challenge.

To address these real-time analytics challenges, RingCentral partnered with StreamSets to build out dataflows into an enterprise data lake to store and analyze its data. RingCentral manages their data pipelines with StreamSets DataOps Platform which helps them ensure relevant and reliable data is immediately available to all areas of the organization.

RingCentral’s data lake architecture and dataops platform combined allows them to run multiple business imperatives on a single set of data across multiple analytics solutions.

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