The theme of this year's 5-17 World Telecommunication and Information Society Day is "Developing Big Data, Expanding Impact," and this is the first time that the International Telecommunication Union (ITU) has made "big data" the theme of the day. This is the first time that the International Telecommunication Union has made "big data" the theme. The most active developers of big data are Internet companies, and similar to Internet giants such as BAT, communications carriers are storing and managing a staggering amount of data, turning it into a tool to "multiply" GDP.
Currently, the entire communications network is striving to realize connections that support more data traffic and more terminals, and the vision of the Internet of Everything brought about by 5G will add tens of billions of connections to the entire communications network, which will need to be empowered with more intelligence through technologies such as big data and cloud computing, empowering the entire information society.
Communication carriers are sinking huge amounts of data
How to better utilize the value of data assets is a brand new topic for communication carriers. Communication operators are transmitters, producers and users of big data. Big data in operators can be divided into three main categories. The first category is signaling data in the CS (CircuitSwitch) domain, which mainly contains subscriber's telephone call records (CDR), SMS sending records, and other interaction records between terminals and the network (e.g., terminal's power-on messages, location update messages, and authentication messages), etc.; the second category is the IP packet data in the PS (PacketSwitch) domain, and the data in the PS domain mainly contains The second category is the IP packet data in PS (PacketSwitch) domain, PS domain data mainly contains control plane and user plane packet records when users surf the Internet, control plane data such as AAA authentication, authentication packets, PDP creation, update, deletion, etc., and user plane data is mainly the user's Internet access record data; the third category is the CRM data containing the user's personal attributes, which mainly contains the user's identity information data, the product ordering data, the user's consumption data, the user's payment data, the user's subscription data, user's payment data, user's package data, user's terminal data and so on.
Communication carriers have now reached a new level of ability to manage these data. Fan Ji'an, deputy general manager of China Unicom's information technology division, told reporters that since China Unicom set up a group-wide big data center in 2012, China Unicom has accelerated the construction of China Unicom's open platform for big data applications while continuing to strengthen and enhance its ability to support the company's internal data, and has formed the largest cloud architecture big data platform in China except for the BAT, which has deposited a huge amount of data.
Now this platform has a storage capacity of 85PB, and the computing power of Hadoop cluster is nearly 4,500 nodes. The platform has concentrated more than 410 million user data and GPS-level real-time location data across the country, and has established a user labeling system that covers 9 categories and *** counts more than 3,800 users; it can easily identify 400 million URLs, 200,000 Internet products, about 4,200 It can easily recognize 400 million URLs, 200,000 Internet products, about 4,200 cell phone brands and 105,000 terminal models; it handles 548 billion pieces of Internet access record information, 67 billion pieces of location information and 17 billion pieces of billing details on a daily basis. It can support various internal data query services more than 60 million times per month.
Fan Ji'an said that in terms of improving the level of data safety and security, in 2015, the China Unicom Data Service Security Management Measures were issued for the whole group to strengthen the supervision of data output and application, strictly control the quality of data and data proliferation, effectively carry out data governance, guarantee data security and quality, handle personal privacy protection (strictly control data authorization traceable to individuals or terminals) and application), so that data can only be used within a safe and controllable scope, and provide continuous, stable and efficient big data operation services.In 2016, the data center as a whole passed the certification of the ISO27001 international data security standard, and achieved the established information security goals, with zero incidents of information security and commercial secret information leakage.
China Telecom is also very early in big data.On November 4, 2014, under the leadership of China Telecom, 45 units, including the Telecommunications Research Institute of the Ministry of Industry and Information Technology (MIIT), China Telecom, AsiaInfo, Orient Airlines, and the Internet Society of China, joined together to form the China Enterprise Big Data Alliance.In November 2015, China Telecom formally released its big data open platform and the In November 2015, China Telecom officially released the big data open platform and the "Tianyi big data" brand, and launched four types of data-based products, including precision marketing, risk prevention and control, regional insights, consulting reports, and big data cloud platform products, focusing on serving the tourism, finance, advertising, government, transportation and other industries.
Big Data Products and Applications
Broad Prospects
China Unicom launched six types of big data products in 2016: Wo Label, Wo Platform, Wo Credit, Wo Marketing, Wo Index and Wisdom Footprint. The first two products are positioned as general basic services, with the goal of opening up Unicom's data in the form of tags for partners to use on the Wo Platform. The latter four products are industry applications, providing specific services for specific industries.
Fan Ji'an said that among the six products, Wo Risk Control and Wo Index have achieved great success, receiving enthusiastic responses from the financial sector and Internet companies. Over the past year, the company has developed more than 200 government and enterprise customers, including major ministries and commissions, as well as representative Internet companies; major insurance companies in the financial industry are particularly active, while many startups and small and medium-sized enterprises have also utilized Unicom's open data and platform to develop and operate their own applications.
So far, China Unicom has formed nine major products, including Credit Risk Control, Wo Index, Precision Marketing, User Labeling, Capability Open Platform, Wisdom Footprint, Wo Ads, Wo Tourism, and Wo Government Big Data **** Count.
China Unicom and the National Tourism Administration *** with the development and release of tourism big data index, with Tencent *** with the development and operation of anti-telecom fraud of the eye of the sky, with the Zhaolian company *** with the development and deployment of the use of the Wo Credit Score in their respective businesses, and China Telecom with the launch of a personal credit query system of big data applications have realized the depth of the integration of data. The personal credit inquiry system launched in cooperation with China Telecom won the special prize of the "Sima" award issued by the Ministry of Industry.
Risk prevention and control products are based on China Telecom's user labeling data to establish user credit models, which mainly serve financial institutions such as banks, insurance companies, credit bureaus, and P2P institutions, providing big data services in the areas of pre-credit risk prevention and control, loan risk management, and post-credit risk tracking, etc.; regional insight products are based on China Telecom's user location labeling data, which are used for road traffic, regional human flow analysis, business location analysis, smart city construction, and smart tourism construction. The Regional Insight product provides data services for road traffic, regional human flow analysis, commercial location analysis, smart city construction, smart tourism construction and other areas.
China Mobile utilizes big data to precisely alleviate poverty. Relying on China Mobile's resources and capabilities in IT and data, the Intelligent Precision Poverty Alleviation System is equipped with the functions of precise identification, precise matching, precise help and precise control, etc. It can realize the precise identification of poor organizations (counties/villages, etc.), poor households, and poor populations, and the system not only accurately displays the data information of the poor households, helping party members and cadres on the electronic screen, but also analyzes the causes of poverty, the status of work, and the situation of the poor through the data charts and graphs. The system not only accurately displays the data information of poor households, helping party members and cadres on the electronic screen, but also analyzes the causes of poverty, the status of labor, and the cultural level through the data charts and diagrams, which can be used to formulate poverty alleviation programs in a more accurate way.
Communications carriers
Developing big data is just the beginning
Telecommunications carriers are also facing many challenges in developing big data. After four years of construction and operation, China Unicom has accumulated some experience in data centralization, platform construction, opening to the outside world and service operation, and has a certain leading position in China, said Fan Ji'an. Compared with its domestic counterparts, China Unicom has four leading advantages: nationally centralized data, data quality, platform scale and capacity, and an integrated operation system with coordinated development between the group and molecular companies. "Compared with our foreign counterparts, it should be said that we have two advantages and one disadvantage: the volume of data and the breadth and depth of applications are far superior to foreign countries; and in terms of technology, a large number of open-source software in use still originate from abroad."
Currently, for the "Internet +" or industrial Internet in the required multi-industry business and data integration model, first of all, in the opening up to the outside world, the operators are too focused on banking, insurance, credit and other fields, and in the industrial manufacturing industry, there are few cases. Secondly, there is a lack of a systematic top-level design like the big data in Germany's "Industry 4.0" or the industrial data space IDS, which is just like crossing the river by feeling the stones. The most important is the third point, that is, operators can only do limited data open, but not to do data **** enjoy and multi-party data integration.
Fan Ji'an said that China Unicom tends to adopt an "invite in" approach to external data cooperation (which is also common among carriers) out of concern for preventing the proliferation of data, the possible infringement of users' personal information, and the lack of permanence of the data's value. This approach has two flaws: First, it is too self-centered, and the partners invited in are basically those who do not have their own data or are not willing to share their data; second, if we all adhere to this "invited in" model, we cannot realize the integration of data from multiple parties, and cross-industry applications will not be developed.
The Fraunhofer Institute, Europe's largest applied science research institute with more than 20,000 researchers and 2 billion euros in research funding, has initiated and led the Industrial Data Space sub-project (IDS) of the German Industrial Digital Innovation in the German Industry 4.0 project, which focuses on This sub-project focuses on cross-industry data proxy exchange and data applications, and aims to transform decentralized industrial data into a credible data network space. It has already been supported by more than 30 key companies in Germany and internationally, including some of the world's top 500 companies, such as Europe's leading insurance company Allianz, the largest IT services company Atos Origin, the world-renowned Bayer Pharmaceuticals, the world's top accounting firm PricewaterhouseCoopers, the world's top accounting firm PricewaterhouseCoopers, and the world's top financial services firm PWC. top accounting firm PricewaterhouseCoopers, the German Technical Inspection Association TUV, Volkswagen, the heavy industry company Krupp, Thyssen, and many others.
"The idea of decentralization in IDS eschews the option of consolidating and ****enjoying data all on one platform, laying the cornerstone for the continued smooth development of big data." Fan Ji'an said, "That's why we're actively working with Fraunhofer Institute, hoping to draw on their experience to meet the needs of 30 Fortune 500 companies coming to China for development, to develop data trading technology, to create a decentralized, Chinese-style industrial big data network self-run by certified partners, and to realize China Unicom's transition from 'inviting in' to 'going out' development aspirations, and realizing the aspirations of the three carriers as well as many big data companies to ***HEARN***WIN*** on data cooperation. In addition, we are also working with our strategic partner Telefónica in multiple dimensions."
From the perspective of data resources or assets, the data of Internet companies is generally limited in scope and depth by their own business and data genes. Operators in the field of big data have unparalleled advantages in other industries, mainly reflected in the following three aspects: first, scale. On the one hand, the data volume is large, and the data generated every day is calculated in petabytes, which has a rich and sufficient data source; on the other hand, the data dimension is comprehensive, including user behavior, geographic location, Internet behavior, movement trajectory, payment ability, consultation and complaint information; and the second is accuracy. The network system can generate multi-dimensional behavioral information related to end users in real time, accurately reflecting the state of user behavior in real time. Third, continuity. Network data can be provided continuously with continuity and traceability, depending only on the data storage strategy, without human factor interference. And through the cross-correlation of these different dimensions of data, more new data and new value can be created.
As an operator, despite its unique value in data resources, it does not mean that it is invincible by relying on its own data alone. Especially in a composite cross-industry scenario, the correlation and analysis of multiple data sources can generate even greater value. This requires operators to also integrate a wider range of external data sources, including other industries, companies and government agencies.
The development of big data by communications carriers is just the beginning. The entire communications network is striving to realize connections that support greater data traffic and more terminals, and the vision of the Internet of Everything brought about by 5G will add tens of billions of connections to the entire communications network, which will need to be empowered with more intelligence through technologies such as big data and cloud computing, and which will require carriers to empower the entire information society through continuous investment and in-depth industry analysis.