Tag: Amazon Kinesis Data Analytics

In the first blog post of this series we introduced a serverless approach for CSPs to capture and process subscribers’ performance in real time. We covered how, by leveraging AWS real-time analytics services, CSP can identify subscribers with a significant rate of service impairment. Incident events are stored on a Data Lake, whilst overtime performances […]

When resolving network and service incidents, communication service providers (CSPs) have low visibility on how network incidents are perceived by their subscribers. As a result, resolution of network incidents is not optimized towards upholding customer satisfaction, leading to reduced effectiveness in limiting churn and increased cost of first-line support. This blog series demonstrates a fully […]