The Internet Big Data Age Hits: Contains the pioneering space to be excavated

Consumer habits, interests, relationships, and the trend of the entire Internet will become the focus of Internet practitioners, and all of this acquisition and analysis are inseparable from large data. On the one hand, large data mining and analysis based on social media will derive many applications, on the other hand, the marketing consulting service based on data analysis is also emerging.

These companies, which focus on data mining and data services, will be the emerging power of e-commerce and even the internet's Third-party services industry.

There are huge business opportunities lurking behind the data. Only companies such as Google and Microsoft have been able to dig deeper into the data, and now more and more startups are coming in, and different companies are creating new business models in different dimensions of data analysis and services.

Professor Barabasi, author of the outbreak and a global network of complex networks, says a new academic discovery translates into a business model that involves a lot of factors and a long time, such as the emergence of social networking theories and social networks such as Facebook, which have been going on for decades. However, the development of business form in the Big data field will have such lag, but the capital market has already started to focus on the companies with data aggregation and mining analysis ability, and began to invest in the early projects of large data mining.

The value of large data

First, the companies that hold the data are on the gold deposits, which can produce good results based on data-mining, followed by the emergence of many business models based on data discovery.

"If we have a data-forecasting platform, like a GPS and radar for the enterprise, the company will be more sure to go to sea." Ma Yun in 2012 in the speech of the network business conference vividly expressed the importance of the data.

Google search, Facebook postings and Twitter messages make it possible to measure the behavior and mood of people in detail. Mining the user's behavior habits and preferences, messy data behind find more in line with user interests and habits of products and services, and products and services targeted adjustment and optimization, which is the value of large data. Large numbers are also increasingly showing the power of the industry.

Tengyun World Data Mining director Zhang Xiatian said that the advent of large data age is first determined by the data richness. The rise of the social network, a large number of UGC (Internet terminology, all known as user generated content, that is, the meaning of what users generate) content, audio, text information, video, pictures and other unstructured data appear. In addition, the amount of data in the Internet of things is larger, and the mobile Web can collect users ' information more accurately and faster, such as location, life information and other data. From the data volume, has entered the era of large data, but now the hardware is obviously not up to date with the pace of development.

Previous large data were often used to describe the large number of unstructured and semi-structured data created by a company, and now the reference to "big data" usually refers to a way to solve the problem, that is, by collecting and collating all aspects of life data, and to analyze and excavate it, and then obtain valuable information from it, Eventually a new business model was developed.

Zhang told reporters in the summer, although the big data is still in the initial stage in China, but the commercial value has emerged. First, the companies that hold the data are standing on the gold mine, which can produce good results based on data transactions, and secondly, there are many business models based on data mining, different positioning angles, or focus on data analysis. For example, to help enterprises do internal data mining, or focus on optimization, to help enterprises more accurate to find users, reduce marketing costs, improve sales rate, increase profits.

In the future, data could become the biggest trading commodity, says co-founder Sumeng, the percentage. But the large amount of data is not large data, the characteristics of large data is large data, the variety of data, the value of non-standard data maximization. Therefore, the value of large data is to obtain the maximum data value through data sharing and cross multiplexing. In his view, future big data would be like infrastructure, with data providers, regulators, regulators, and data interleaved to turn big data into a big industry.

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.

Big Data already has a business model

At present, the domestic network advertising is moving from the traditional group-oriented marketing to personalized marketing, from the flow of purchase to the crowd to buy.

Although the market environment is bad, but the company with data mining ability is much favored by the capital.

China Gold Securities TMT industry analyst Carey said Big data is a good perspective and tool. From the capital point of view, what kind of companies are valuable, what kind of companies have no value, from the size of their data, the activity of data and the ability of the company to use and interpret data, we can see the company's core competitiveness. These capabilities are the focus of capital.

The rise of mobile internet and social network will bring large data into the new journey, Internet marketing will be on the basis of behavioral analysis to the personalized era transition. Startups use "Big data" to tell advertisers what is the right time, who is the right user, what is the right content to publish, and so on, which is exactly what the advertisers need.

Zhang Wenhao, a unique technology founder, believes that social networks generate huge numbers of users and real-time and complete data, while social networks also record the mood of users, digging through the data to get to know users, and then pushing the analytics data to the desired branding business or microblogging marketing company.

In fact, it is the result of data mining behind social content that the user group is precisely subdivided to find the user directly. And through various algorithms to achieve the data information transactions, it is Zhang Wenhao for their own social data mining company design profit model. At present, the small company of only five or six people has got the angel investment. Zhang Wenhao said that at present, the domestic network advertising is moving from the traditional group-oriented marketing to personalized marketing, from the flow of purchase to the crowd to buy. The future market will be more people-centric, the initiative to meet the needs of users, the premise is to find this part of the crowd.

In the Mobile internet field, Beijing Teng Yun World Technology Co., Ltd. from the developer perspective to find the direction of data mining, through the provision of free technical services to help developers understand the application situation. "For Teng Yun World, the service also gathers the data, the profit direction is for the developer to provide the more valuable information service and the value-added service." Zhang said in the summer.

Multiple challenges of large data

How to combine data information with products and people to achieve product or service optimization is one of the challenges in the extension of large data business models.

With the development of various portable devices, Internet and cloud storage technologies, all traces of human beings and objects can be recorded. The core network node in mobile Internet is human, no longer a Web page. How to excavate the data under the big Bang is also facing the dual challenge of technology and commerce.

At the China Software Developers Conference, Tencent chief scientist Sun said, "Now we are facing the challenge on the one hand is the storage of large data processing, but also more important is how large data for users, for the vast number of netizens to serve the problem." ”

First, how to combine the data information with the product and the person to achieve the product or service optimization is one of the challenges in the extension of the large data business model. In the summer, big data challenges the algorithm and computing platform, and the computational overhead increases. The increase in total volume and the decline in quality are major challenges for large data.

Second, bricks, the key to big Data is who owns the data first. The alliance's co-founder and COO Zhang He says smartphones are based on user marketing rather than media marketing. Mobile Internet provides a new source of data, data analysis can be targeted at each user's mobile phone information to do accurate matching, but the current large data age has not really come. Although the alliance can cover 18 million users per day, the description of the user's behavior requires a greater amount of data.

From the market point of view, the big data also faces the challenge of other factors. Posture Wireless CEO Ye Shi bluntly, big data is very promising, but the market noise of data is too much, can cause data value greatly reduce. In wireless marketing, for example, a large amount of brush and the Navy's evaluation of the difference is seriously interfering with the accuracy of data, which actually greatly reduces the value of the data.