The exclusive view of the letter: the operator must be able to master the large data

Source: Internet
Author: User
Keywords Operators large data implementations through
Tags activity advertising advertising marketing based business business model consumption control

First, the mobile internet age to master large data is the operator's necessary capabilities

The arrival of mobile internet era operators not only face the competition of homogeneous enterprises, but also face the competition of internet companies. Make enterprise competition intensified, relying on large data transformation has become a global operator consensus. Domestic telecommunications operators sit on a large number of 1.1 billion customers, operators have a large number of valuable customer information in the pipeline (Customer consumption level, customer needs, customer activity trajectory, customer service needs, etc.), telecom operators must consider how to use data to create value through data, integrate their own data, through the data into information. The mobile internet age to master large data is a necessary capability of operators, can help operators to achieve the enterprise internal fine control, operations, marketing, services and external "data management", the data into valuable information services to external enterprises, to achieve more value.

Second, operators to control large numbers of several forms

Internal "intelligent operation": Telecom operators in the internal refinement of operations, in fact, through the BI system has done a lot of work, but the arrival of the new era, the operator network in the presence of a large number of value information has not been effectively integrated, the need for operators to integrate their own data as soon as possible to achieve internal meticulous operation control Through the enterprise data integration to support the upper level of traffic management, "large data, super subdivision, micro-operation" to promote marketing and service levels, optimize the operator Network Service quality.

Facing the external "data Management": Through the integration of internal data information and the expansion and introduction of external data information, strengthen the ability of data support, build a professional team to mining data value, to achieve market-oriented application development and business model innovation.

Data products: Transform themselves and external data collection into valuable "data products" to provide different partners (e.g., tourism, retail, electric, etc.) Telefónica has launched its first product intelligence (smart tournaments), which provides anonymous mobile network data to retail companies

Ability to open: open its own large data platform capabilities and some data, to the demand for enterprises to provide precision marketing and services. (For example: Precision advertising marketing for mobile internet) Verizon set up the Precision Marketing Department Precision Marketing Division to provide accurate advertising marketing.

Green sharing: Through the collection of data of different value enterprises, we can realize the cooperation in different fields and realize the mutual win. (For example: Provide information index, serve society, transportation, medical, public, etc.). Baidu company based on user's web search behavior, to the public and industry customers to provide Internet customer focus on trends and other indicators.

Third, the construction operator Big Data operation Ecosystem, realizes the enterprise internal and external data operation support

Based on the above several business models, the carrier's IT system should have the corresponding ability to support. First need a large data platform to collect and consolidate data, the most likely to collect external data sources, and the effective integration and control of these data, build enterprise Unified analysis ability, transform these data into valuable information. For example, the customer unified view, not only with a single natural attributes, communication attributes, there will be the user's location attributes, user's life attributes, user behavior attributes, social network properties, and so on, the greatest degree of collection of customer information, to achieve the customer's "large data, super subdivision, Micro marketing.

These integrated data and information, shared by data fusion, can be shared in real time with the internal and external enterprises. To support the enterprise internal refinement management and fine marketing.

Outside the enterprise needs to pass the situational perception platform, the policy matching service realizes the different "Data information product" the provision, and safeguards does not disclose the customer any privacy. Through the ability to open platform to achieve the integration of large data platforms open and open data, services to external enterprises.

The exclusive perspective of the four-Asia letter: Operators to control the three levels of large data

Based on a deep understanding of operating large data and many years of operation of large data platform operators, the company gives operators three levels to harness large data:

Level One: Data asset visualization

Integrate operators ' internal data and external data to realize data operation, manage the data as core assets, realize "efficient operation" and "intelligent operation" within the enterprise. For example: Data asset Management, Operation Rubik's Cube.

Level Two: Data assets can be endowed

Fully explore operators with unique data advantages, explore and test water data operation system, build enterprise data operation of a new business model and business model. For example: Large data laboratories, operators combined with hot event marketing methods.

Level Three: Data assets realisable

Realize the large data of telecom operators "Green Transaction" (data to privacy), to achieve business model innovation, business model innovation, the full implementation of "Data management." For example: RTB (online auction advertising platform), telecommunications operators of credit services, industry reports, Smart city and so on.

(Responsible editor: Mengyishan)

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