Lohas Quotations: Big data is proliferating. For the commercial value contained in big data, some people call it "data drilled from oil". Making full use of big data technology and discovering the trend and forward-looking information from the massive accumulation of interactive data can breed amazing social and commercial values. However, even if we look around the world, there are few telecom operators in the application cases of big data. Compared with many explorations in the internet field, they are slightly dull, let alone drilling for "oil" on a large scale. Faced with this situation, I believe many people in the industry are thinking about these questions: What new opportunities will big data bring to telecom operators? What challenges do telecom operators face in the era of big data? How will telecom operators strategize in the future and build a smart big data system? From 4W to 4V: Operators have inherent advantages. According to the characteristics of the information explosion era, the industry summarizes big data as "4V"-volume, type, speed and value. Volume means a huge amount of data, diversity means a variety of data types, speed mainly means the speed at which data is created and moved, and value is the goal of processing data and mining useful things from complex data presented in various forms. Comparing "4V" and "4W", we can find the corresponding relationship between them. The base of hundreds of millions of communication users ensures the mass and diversity of data, and the real-time bearing of communication network ensures the speed of data. More importantly, operators can also collect valuable data such as user location and general income, thus providing reference for precision marketing. Therefore, operators have inherent advantages in mastering user behavior data, which is beyond the reach of general Internet vendors. With the popularity of smart phones and high-speed networks, operators will be able to obtain more user behavior data. Viktor Mayer-Sch?nberger, a data scientist and author of Big Data Era, said that in the era of big data, companies with data will undoubtedly achieve great success. Because they have insight, big data will provide them with new insight. From this perspective, operators undoubtedly have a natural treasure, but whether they can tap and extract the value in these mineral deposits will determine whether operators can seize the opportunities brought by big data. From big to small: building an intelligent big data system. Large traffic does not necessarily bring big data. Most of the data obtained by telecom operators are "unruly"-they are called unstructured data, and the data itself is of little value. At present, telecom operators' exploration of big data is still in its infancy: on the one hand, users' behavior, trajectory, status and other data are scattered in all aspects of the network, and the cost of forming information assets is very high; On the other hand, operators' means of big data mining are still insufficient. How to separate valuable information from huge data and find a reasonable business model to improve their ability to "control" data has become a challenge for telecom operators. For telecom operators, they can use big data to achieve their own precise marketing and refined operation. In this regard, domestic operators have tried. Using big data processing tools such as Hadoop, by analyzing users' interest maps, relationship maps and behavior orientations, combined with their own business, tailor-made services are launched, such as recommending roaming packages to business people who travel more; For users who like mobile internet access, provide them with traffic packets ... this itself belongs to the category of big data applications. Moreover, operators can make market decisions quickly and seize the commanding heights of the market through comprehensive analysis of business resources and financial data. In the future, operators can also expand the third-party model, increase open cooperation, cooperate with all links in the industrial chain, accelerate the exploration of the business model of big data management, constantly release the potential power of huge data in their pipelines, and turn data into "real money". In this regard, the exploration of foreign telecom operators provides us with ideas. Telefó nica established a big data business department named "Dynamic Insight" last year, which can provide customers with data analysis and packaging services to help them grasp the main trends. France Telecom's mobile business unit has also begun to try to tap the potential value of big data. For example, it undertook the French highway data monitoring project to analyze millions of records generated every day, so as to improve the road patency rate. Even more subversive is Verizon, whose data business accounts for a very high proportion of its entire business. Among them, there is the additional value of joining a third-party organization to conduct big data analysis on its user base and then provide valuable information for the government or enterprises. Analysts pointed out that the higher the degree of digitization, the more application scenarios of big data, and the higher the value it can bring. Although the exploration of data reconstruction business in China has not yet formed a scale, it represents the direction for operators-relying on their own advantages, packaging data analysis into services and providing them to third-party institutions such as governments, shopping malls and banks for decision-making, so as to realize the innovation of business models and take the lead in the competition with Internet companies. But it needs to be clear that the data packaging here does not illegally collect users' personal information, let alone sell users' personalized privacy. Real big data should be processed and value-added, analyzed and guided, not the low-level abuse of the original data itself.