Call Detail Record (CDR) Analysis is a data analysis technique used to extract useful information from telephone call records and other communication details. These records contain detailed information about the calls made, such as time, duration, originating number, destination number and other relevant data.
CDR analysis is used in a variety of applications, including telecommunications service billing, communications network management, quality of service monitoring and fraud detection. CDR analysis techniques can include statistical analysis, machine learning techniques and data visualisation to identify patterns and trends in the data.
In the telecommunications industry, CDR analysis is used to measure network traffic, identify areas of congestion and optimise network capacity. It is also used to detect customer usage patterns, such as peak times and geographic areas of highest demand.
In short, CDR analysis is an artificial intelligence and machine learning technique used to extract valuable information from telephone call records and other communications details. This information is used to improve the efficiency of communications networks, improve quality of service and detect fraud.
Churn, or customer churn rate, is a constant challenge for today's businesses. The ability to retain customers is a constant challenge for today's companies.
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