Customer Experience Analytics on Call Detail Records (CDRs)
Reduce the ever increasing cost to store and analyze huge volumes of CDR Data. A typical mobile service provider generates >1 billion CDRs per day, ingesting millions of CDRs per second. Due to the cost of existing solutions, the historical data is not available for analysis after a few days. CDRs need to be analyzed and archived for compliance, billing and congestion monitoring.
Hadoop processing and storage
Leverage the processing and storage power of Hadoop to analyze billions and petabytes CDR’s records and recognize patterns of usage and behavior.
Capture the CDR data on a real time basis to recognize patterns and provide root cause analysis on a real time basis.
Ability to store and retain CDRs for years to allow analysis, and also to support regulatory requirements.
Hadoop provides both a cost advantage ( 20x cheaper storage than enterprise-grade storage) and better insights.
Better analysis to continuously improve call quality, customer satisfaction, and service margins.