RingCentral had several goals involved leveraging data insights but the volume of data and complexity of data formats made ingesting data, managing data pipelines and applying analytics a challenge.In order to get a 360degree view of a conference call they needed to address 3 mission-critical areas:Quality of Service: RingCentral handles 200+ million calls/month and it’s critical that call quality meets customer expectations.While RingCentral had capabilities to forensically assess call quality after the fact it needed a way to detect and remediate poor quality in real-time to quickly pinpoint problems whether in its system or within their providers’/customers’ networks.Fraud Detection:Fraud is an ongoing threat as malicious users attempt to hijack accounts and mount large charges on international carrier networks that adversely impact their customer base and brand reputation.Detecting fraud through real-time analysis of network usage and carrier records is key to shutting down bad actors but with legacy solutions RingCentral could only monitor a limited set of resources.Product Usage:RingCentral needed to understand how customers are using their technology in order to improve customer experience, as well as product stickiness and virality.Various departments across the company want to gain insights from data but RingCentral lacked a consistent way to stream the data and required many hours to create reports and run analyses.