Look at the big data from the world's top ten telecoms giants

For telecom operators, no era can shoulder the 4G era, easy to master such a large number of customer data. 4G ERA, mobile phone shopping, video calls, mobile music downloads, mobile games, mobile phone IM, mobile search, mobile payment and other mobile data services in endlessly. They are creating unprecedented new experiences for users, while also providing a large data perspective for telecom operators to tap the value of user data. Data mining, data sharing, data analysis has become the global telecommunications operators to change the business model to win in-depth business insights of the basic consensus.

Currently, 48% of the world's 120 operators are implementing big data strategies. By improving their ability to analyze data, they are trying to create a new business ecosystem, a gorgeous turn from telecoms network operators (EADS) to information carriers (Infocom). From the previous "pipeline" to the big Data strategy fusion, how should the telecom operators make good use of the big data? The Big Data application of the global Top 10 telecom "Big Brothers" and its cultivation of new economic growth points are quite enlightening.

1.at&t: Monetization of location data

At&t is the largest local and long-distance telephone company in the United States, founded in 1877. In 2009, At&t launched a shift to the information carrier using the world's leading data analysis platform, application and service provider Teradata's Big Data solution.

In the process of cultivating new performance growth points, At&t decided to cooperate with Starbucks to collect and analyze the location information of users by using large data technology, and to advance the purchase behavior of consumers by calling or other communication activities near the Starbucks store. To this end, At&t Select High Fidelity customers to understand the at&t and Starbucks between the business, and signed an agreement, the management of customer privacy to the customer itself. When granted, At&t delivers the information services to Starbucks at a certain amount. By digging through these data, Starbucks can estimate the approximate time period that consumers spend at home and predict the behavior of individual users and make personalized recommendations. In addition, in order to understand the iphone's market response at the start of the iphone, At&t also chose to form a strategic alliance with Facebook, analyzing Facebook's unstructured data to find out how users experience products such as price, mobility, and service perception. To introduce more accurate telecom bundle service.

2.NTT: Social integration of innovative medical profession

NTT is Japan's largest telecommunications service provider, founded in 1976. Its docomo is Japan's largest mobile telecoms operator and one of the world's largest mobile telecoms operators, with more than 60 million subscribers.

Since 2010, DoCoMo has realized the socialization innovation of medical resources and fostered the growth point of medical information service by using large data solution. Facing the aging trend of Japanese society, DoCoMo thought of setting up information service platform to meet the personalized medical needs of users. Therefore, DoCoMo and Teradata Company to fully cooperate with the use of its large data solutions to build their own database. Through the opening of Medicalbrain and md+ platform, the aggregation of a large number of medical professional information, network gathered a large number of medical professionals. This enables users and various professional medical and health service providers to share standard, secure and reliable life-parameter acquisition and distribution platforms. On this platform, DoCoMo can be based on the user's past behavior insight into their personalized needs, and then feed these needs to the corresponding medical staff, to help users get high value feedback.

3.Verizon: Data Warehouse for precision Marketing

Verizon is the largest local telephone company in the United States, one of the largest wireless communications companies, and the world's largest print yellow pages and online yellow page information provider. It operates telecommunications and wireless services in 45 countries in the United States, Europe, Asia and the Pacific.

As the younger generation of consumers become the main consumer of telecommunications, through multi-media, social media and other channels to understand their consumer behavior has become Verizon's marketing focus. As a result, Verizon set up the Precision Marketing Department (Precisionmarketingdivision) to exploit, explore, and analyze the structured and unstructured data that users produce by using the enterprise-class data warehouse of Teradata Company. With the help of large data solutions, Verizon has achieved accurate marketing insights into consumers, and provided them with business data Analysis Services, while allowing the user data to be traded directly to third parties, with the availability of permission. In addition, these insights into consumer buying behavior provide support for Verizon's advertising campaign to achieve precision marketing. With insight into consumer behavior, Verizon also decided to move into mobile e-commerce, creating its own new growth point of achievement.

4. Germany Telecom: Intelligent network to cultivate new growth point

Deutsche Telekom is Europe's largest telecoms operator and the world's fifth-largest telecoms operator. Its t-systems is the world's leading ICT solutions and service providers.

It was t-systems that brought Deutsche Telekom into the fast lane of large data development. Based on the advantage of having 120,000 square meters of global data center, t-systems the concept of "intelligent network". Through real-time access to automotive, medical and Energy enterprise data, T-systems has developed a car-mounted internet navigation system, traffic accident automatic call system and voice-activated e-mail system, as well as energy network development solutions to achieve electricity supply and demand balance. In addition, it provides integrated medical solutions through the design of secure transmission and convenient solutions to connect doctors and patients.

5.telefónica: Large data support User experience optimization

Founded in 1924, Telefónica is a large multinational telecoms company in Spain that operates mainly in Spain and Latin America, and is one of the world's largest fixed-line and mobile telecoms companies.

Telefónica has always regarded the user experience as the focus of enterprise development. Telefónica starts an End-to-end user experience management project for mobile broadband networks and establishes a system with more than 60 user experience metrics to support the wireless network Controller (RNC), Domain Name System (DNS), online billing system (OCS), GPRS Business Support node (SGSN) , probes and other kinds of network nodes information collection. All collected information is consolidated and stored in the database, providing data support for subsequent user experience measurement.

6.Vodafone: Dynamic Data Warehouse supports business decision

Vodafone is a multinational mobile phone operator, and is now one of the world's largest mobile communications network companies.

Vodafone has made a great effort in large data applications. As early as 2009, its Smartone-vodafone commissioned Teradata Company to complete the Dynamic Data Warehouse deployment, so that all managers can easily make the best decision based on information. It mainly through the open API, to the data mining company and other partners to provide some of the user anonymous location data to master the crowd travel rules, effectively with some LBS application services docking. These large data solutions greatly improve Smartone-vodafone market leadership.

7. China Mobile: Customer complaints Intelligent identification system to reduce complaints

China Mobile Communications Corporation is the largest mobile communication operator in China and the largest mobile operator in the world.

With the rapid growth of the number of customers in China Mobile, the corresponding increase in customer complaints has also been brought.

In order to identify the real causes of customer complaints, find problems, improve products, improve the service experience, China Mobile and Teradata Company has cooperated closely. Teradata has configured the customer Complaints intelligent recognition system based on the CCR model, taking the complaint content as the source, through the intelligent text analysis, realizes the closed-loop management from the discovery problem to the analysis problem, to the problem solving and the tracking evaluation. After a period of use, only a provincial company of China Mobile, to achieve the full network of intelligent identification of complaints: 769 complaints are identified, with the business unit to provide 37 product optimization recommendations, to help optimize 11 products, optimize the unsatisfactory point 58, eliminate 368,295 customers potential dissatisfaction hidden trouble; Cost savings of up to 5.4 million per annum.

8. France Telecom: Data analysis improves service levels

France Telecom is the largest company in France, and the world's fourth-largest telecoms operator, with the world's largest 3G network orange.

In order to optimize the user experience, France Telecom's company Orange adopted Teradata Company large data solution, carried out the analysis and evaluation of consumer data. Orange through the analysis of the drop rate data, found the overloaded network and timely expansion, thus effectively improve the network layout, to provide customers with a better service experience, access to more customers and business growth. At the same time, Orange built a French highway data monitoring project. In the face of 5 million records per day, orange in-depth excavation and analysis, for the vehicles driving on the expressway to provide accurate and timely information, effectively improve the road patency rate.

9. Telecommunications in Italy: data-driven personalized services

Italy Telecom is one of Europe's largest mobile operators, but also based on a single network to provide GSM series services leading European operators.

In the face of the decline of fixed-line business, Italia Telecom has built a customer data warehouse for the whole business operation to meet the business rules and needs in the fields of market, sales and customer service. Through the insight into customer data, effectively forecast the relationship between income and customer behavior, introduced a variety of personalized products to meet customer needs. Italy Telecom launched the Napstermobile music business, including cell phone ringtones, artist portrait wallpaper and access to napstermobile songs directory and other personalized services, directly driving the business performance.

10.KDDI: Data Management Service is the core

KDDI is a well-known telecom operator in Japan and has subsidiaries in many countries in the world.

Providing data management services through large data assets is one of the core business of KDDI. KDDI use its own advantages, the data center as the core, to provide enterprises, including cloud computing services, such as integrated information and communication services. KDDI started to provide data management services for Japanese and local businesses in China in 2000, with rapid business development. 2012, KDDI in Beijing Economic and technological development zone to build the local largest data center, covers an area of 25,000 square meters, trying to achieve 2015 overseas turnover of 2010 years twice times the target.

In the mobile internet era represented by 4G, the structural data, such as information, Internet behavior data, self-help data, WAP log, Internet Web page, complaint text, text message and so on, have geometric growth of unstructured data. Faced with the new mass of data, traditional telecom operators are facing more and more challenges:

Customers and content service providers are more closely connected, but the loyalty of telecom Enterprises has declined;

The enterprise cannot provide the commercial value through the flow content service, the profit ability continues to decline;

"Pipeline" seriously weakened the control of bearer information, loss of innovative products, business Development Foundation.

Telecom operators need to compete with data analysis to realize the monetization of data value. At the same time, using large data to realize the transformation from telecom network operator to information operator. By analyzing the data, understand customer flow business consumption habits, identify the location of customer consumption, insight into customer access to different information channels and so on, telecom operators will gain in-depth business insights, to build based on large data rental data model, rental information model, digital media mode, data enabling mode, New business models such as data space operation mode, large data technology provider, etc.

(Responsible editor: The good of the Legacy)