Real-Time Customer Analytics

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What Does Real-Time Customer Analytics Mean?

Real-time customer analytics is a type of analytics which
concentrates on real-time data captured from customers as they are performing
their actions rather than on older historical data like traditional
analytics, which use historical data to predict future trends.
Real-time customer analytics also gives more emphasis to customer interaction
and usage data rather than page views and other similar statistics, giving a
more customer-centric view rather than a demographic one.


Techopedia Explains Real-Time Customer Analytics

Real-time customer analytics software and techniques make use of all available enterprise data and other resources, specifically data, in order to combine both dynamic analysis and reporting based on customer data that has been recorded from the last few minutes. This allows a business to make up-to-the-minute business decisions that may affect the user-base currently using the organization’s systems.

Real-time customer analytics can support instant and up-to-date information in company dashboards as well as reflect business decisions and changes throughout the day. It can also be used to track critical system bugs that are affecting a large portion of an organization’s customers or even predict a DDoS attack based on the activity of the perceived customers. The system can see if the behavior is similar to that of regular customers or if the group is acting in a very coordinated way, indicating an attack.


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Margaret Rouse
Technology Expert
Margaret Rouse
Technology Expert

Margaret is an award-winning technical writer and teacher known for her ability to explain complex technical subjects to a non-technical business audience. Over the past twenty years, her IT definitions have been published by Que in an encyclopedia of technology terms and cited in articles by the New York Times, Time Magazine, USA Today, ZDNet, PC Magazine, and Discovery Magazine. She joined Techopedia in 2011. Margaret's idea of a fun day is helping IT and business professionals learn to speak each other’s highly specialized languages.