Real-time
Fraud Detection
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 cloud 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.
Creating Order from Chaos: Governance in the Data Wild West
This report, based on original research of over 650 data leaders and practitioners from the U.S., UK, EU, and Australia, takes a look at:
- The challenges of governance in the data wild west
- Confusion over responsibility adds to data visibility challenges
- Blind spots are created when business teams move fast
- Establishing a data “mission control” to create order from chaos
Data Engineers Handbook for Snowflake
Five Challenges Limiting the Impact of Transformative Analytics
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