Page 237 - Big data - Concept and application for telecommunications

Big data - Concept and application for telecommunications 5

Figure 6-2 – Big-data-driven prediction of customer upgrade in mobile network

6.4.1.1 Data collection
It is useful to collect mobile user plane data, terminal information data and billing data that can be obtained
through DPI, operator management systems for terminals or other external terminal management systems
and the business support system (BSS) of operators.
User plane data includes the customer mobile subscriber international integrated services digital network/
public switched telephone network (ISDN/PSTN) number (MSISDN), international mobile equipment identity
(IMEI), start time, end time, access network type and uplink traffic and downlink traffic for packet switch (PS)
service. Furthermore, terminal information data includes IMEI, brand and type of terminal and its supported
type of mobile network. In addition, billing data includes customer personal information, MSISDN and service
consumption. In a word, data can record customer service use behaviour and consumption and reveal the
capabilities of their terminals.

6.4.1.2 Data analysis
The data collected in clause 6.4.1.1 can be correlated to analyse customer behaviour and consumption
characteristics. Indexes can be calculated, such as those for traffic and duration in higher speed or bandwidth
(video, image, etc.), data service consumption rate and consumption level. Generally, the higher the values,
the stronger are the preferences for upgrade. Combining data about the customer terminal type, e.g.,

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