McKinsey, the world's leading business consultancy, has long said that data has permeated every industry and business functional area today, becoming an important factor in production. The change of life style is obvious in the aspects of clothing, food, living and travelling, and the real application of large data from theory to practice has just begun. The real application of data from theory to practice has just begun.
Rapid development of mobile Internet accelerates large data application landing
The data age is coming, and everything around us is being defined by the data. Every day people will use computers, mobile phones, GPS and other devices to produce 1 billion of thousands of information, these interactive information fundamentally changes the world's original face.
With the increasing number of mobile users, the application of large data based on mobile internet has attracted much attention. According to CNNIC latest statistics show that as of October 2014, the national mobile phone users reached 1.122 billion households. The number of smartphones has grown rapidly from 200 million in 2013 to 360 million in 2014. Currently has hundreds of millions of users mobile applications have reached about 10, including micro-letter, quick drop taxi, mobile phone Taobao, Baidu Map, Sogou input method, pplive, gold map and ink weather, they are very good use of the benefits of large data, in the user data analysis and collation based on the extraction of effective information, This becomes the forerunner of app Big Data application.
Ink Weather app is a typical representation of applying large data. Its products air fruit, you can use Wi-Fi for simple settings. Air fruit design is cool, user-friendly, can voice broadcast, display wave can be lit, wave can switch data, in the user data preservation and analysis of the use of other similar mobile app has a clear advantage.
The rapid use of a taxi has increased the application of large data in mobile apps. The quick Taxi is the representative of the taxi software and mobile payment market, it obtains the big data as well as the O2O market. Through the software to the user taxi habits, taxi path and other data accumulation, and then analysis, superimposed map services, life Information services and other content, to achieve intelligent service model to increase customer stickiness, and businesses and consumers to form cooperation and achieve profitability.
With the rapid development of large data applications in mobile Internet, two problems still need to be addressed:
First, users have doubts about privacy security, resulting in insufficient openness and integrity of the data, thus restricting the development of large data applications. Today, the mobile phone becomes the first terminal, the Internet center and the Personal Information Center, people put their own communication, social, entertainment, life, business, privacy to the smart phone and its various applications. According to Dcci's third quarterly report, as of October 2014, 66.9% of smartphone mobile applications crawl user privacy data, of which up to 34.5% of mobile applications have "privacy deviant" behavior, call records, SMS records, contacts is the disclosure of privacy information three high-risk areas. How to ensure the proper scale of data collection while ensuring the integrity of the service is a challenge for the enterprise.
Second, there are technical barriers to the analysis of data, can not "number" to do their best, so that many potentially valuable data loss. Mobile applications based on large data are already very extensive, and many mobile terminals are left with user data. 48.2% of the data is wasted and there is no real value for extracting data, according to the 2014 third quarter data released by IHS Screen Digest, which needs to be improved in terms of data analysis and mining.
Operator test water Large data management
Today, the huge business value of big data has emerged. According to statistics, the current large data formation of the market size of 5.1 billion U.S. dollars, and by 2017, the data is expected to rise to 53 billion U.S. dollars. How to excavate the data under the big Bang is also facing the dual challenge of technology and commerce.
As a producer of data, telecom operators have rich large data resources, which are beyond the reach of other enterprises and have great potential for value mining. and have such a high-quality data base, so that operators in the enterprise, industry, society and many other levels, will be a great job.
Looking at the global market, telecom operators large data development is still in the initial stage, the vast number of data has not brought a considerable revenue, how to rely on large data to avoid the dumb pipeline crisis is a common topic of global operators, the three major domestic operators also began a positive layout.
China Mobile Communications Group Business Support System Project manager He Hongling has revealed that China Mobile's current daily new structured data 8T, daily new log class data 400T, and daily processing 10 times times the data, daily query data 100 times times this. He said: "The data has become the first of the current competitiveness of enterprises, data can be included in the balance sheet, enterprises should do their best to collect data, do their best to save data, the data as the core assets of the enterprise." ”
It is understood that China Mobile in the large data of the specific research and development, industrial cooperation and external applications, but also carried out some positive exploration and practice. 2014, China Mobile set up a research and development center in Suzhou, build 3000~4000 People's research and development team and operations team, aims to further improve the cloud computing and large data products system, as soon as possible to form a world-class cloud computing and large data services capabilities.
China Telecom has compiled a large data field to deepen the reform program, clear to establish "integrated management, two-level operation," the large data operation system. The advance organization of China Telecom market has carried out large data RTB precision advertising business, scenic floating population monitoring services and other pilot projects, with remarkable results. Next, China Telecom will focus on Internet user Behavior Analysis report, large data financial credit risk prevention business, large data region Insight Business Research, organize pilot work, get through business process, verify business model, explore telecom large data in the key industry areas of in-depth application and value mining, to obtain a certain social and economic benefits.
And China Unicom also uses the large data flow of its wireless pipeline, using Hadoop and spark large data mining algorithm, constructs the mobility insight solution, extracts the valuable information from the network data, creates more industry, the government new service and the new application. For example, Shanghai Unicom will be the stock and incremental operation of the appropriate separation, the use of large data technology, the real concern and understanding of users, continue to tap and enhance the value of the stock of customers. Network regions that need to be optimized through spatio-temporal data analysis of users who have been off the grid combined with ROI analysis, the areas that need optimization most and those who need care frequently enter the high value users; In addition, the focus of the customer area to identify where customers come from in order to consider whether the location of the targeted advertising.
(Responsible editor: Mengyishan)