Operator big data runs through three stages: from the core telecom business of the three major carriers, to providing big-data services for industries, and finally to monetising data.
What characterises operator big data
As a data access party, a telecom operator covers eight categories of data:
- Users’ basic profile
- Users’ spending behaviour
- Users’ calling behaviour
- Users’ internet usage behaviour
- Users’ channel preference
- Device matching for each user
- Users’ behavioural preferences
- Users’ daily movement patterns
Operator big data can form a panoramic view of customer behaviour for deep insight. Operators can digitise and informaticise different industries, apply the data in each of them, become part of the enterprise and help it build a panoramic view of its own customers.
What operator big data can do
(1) Locate a user by the base station their phone is attached to — error within a few hundred metres in towns, and over one kilometre in rural and mountainous areas.
(2) Locate a user from measurement report (MR) data, mainly by the signal distance decay between several base stations and the phone; error is now down to tens of metres.
(3) WLAN hotspot positioning, emergency vehicles, drones and so on — perhaps a few metres.
This is the operator’s ability to locate users precisely.
The State required real-name registration for mobile numbers many years ago, so operator data is relatively accurate. A question worth asking: whose customer information is more complete, a bank’s or an operator’s? The answer is the operator’s. Not only is the coverage more complete, it can also be verified against actual behaviour, which ordinary banks and other enterprises cannot match. Identity information, for example, lets a financial institution judge a user’s creditworthiness quickly, making a loan far easier to arrange. In education, property, renovation and investment finance, operator big data has enormous application potential. Alibaba’s Sesame Credit, in fact, scores creditworthiness by analysing identity-related information and then serves different users at different levels.
Conclusion
As the owner of big data, operators have now fully opened official big-data marketing platforms for different industries and enterprises. While ensuring the security of customers’ personal information, they are building a complete big-data ecosystem marketing system through open data sharing — creating the value that big data should create, effectively connecting individuals, industries, enterprises and government, and letting operator big data truly serve society.
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