The Big data industry chain

From the forefront of the development of large data in the Internet emerging industries, and human life is closely related to health care, power, communications and other traditional industries, the tide of large data constantly changing people's production and lifestyles. The arrival of the big data age brings a lot of change impetus and great value to all walks of life at home and abroad.

The size of the global data market will usher in a composite growth rate of up to 26% over the next five years-from $14.87 billion trillion this year to $46.34 billion trillion in 2018, according to a new report by research firm MarketsandMarkets. Large-data business models have been extensively explored and tried by major companies, enterprises and research institutions around the world, although many models are still unclear, but some mature business models are emerging.

Two storage modes primarily

Every Web page, every picture, every email, every short message in the communication industry, every phone call, every household electricity data, etc., these footprints are recorded in the form of "data" and grow at a geometric level. This is the most intuitive impact of the big data age.

Because of the large amount of data, the data is unstructured, and many existing storage media and systems greatly restrict the mining and development of large data. To better solve the problem of large data storage, domestic and foreign major enterprises and research institutions have done a lot of attempts and efforts, and constantly explore its commercial prospects, now formed the following two kinds of relatively mature business model:

Scalable storage solutions. The storage solution helps governments, businesses classify and prioritize stored content, and efficiently and securely store it in appropriate storage media. Traditional storage solutions for storage area networks (Sans), unified storage, file consolidation/network-attached storage (NAS) do not provide and extend the flexibility needed to process large data. The new generation of storage solutions, represented by Intel, Oracle, Huawei, ZTE, and so on, provides a full system of storage solutions for large and small businesses that meet the needs of large data applications by standardizing IT infrastructures, automated processes, and high scalability.

Cloud storage. Cloud storage is a cloud computing system with data storage and management as its core, and its structure model is composed of four layers of storage layer, foundation management, application interface and Access layer. Easy to use API for users to put a variety of data into the cloud storage, and then use the same as electricity and water charges. Users do not care about data storage media, network conditions, and security management, only need to buy space to the provider. including foreign Amazon [micro-blog], Microsoft [Weibo], the domestic netease, Shanda and other companies are providing very sophisticated cloud storage services.

Source data Value Rising

In the booming large data era, with the accumulation of data, the value of the data itself is also appreciating, this situation is a good response to things from quantitative to qualitative changes in the law. For example, there is a rare disease, the rate of one out of 10,000, if small sample data is very rare, but expanded to 7 billion people around the world, then the number is very large. Before the technology behind, can not be digitized focus on the disease, so it is difficult to conquer. But we are now gathering all kinds of data cases for unified analysis, and we will soon be able to overcome many of the scientific problems that we have never imagined. Similar examples abound.

It is because of the large data can be mined to a lot of invisible value, the value of the source data itself. Some companies and companies that have mastered massive amounts of data have found an efficient business path: direct or simple encapsulation of the source data. In the Internet arena, social networking sites, represented by Facebook, Twitter, and Weibo, have a wealth of user and user relationship data that are trying to commercialize the source data in a variety of ways, Google, Yahoo! , Baidu [Weibo] and other search companies have a large number of search trajectory data and web data, they can be made available to third parties through a simple API and profit from them; in traditional industries, operators such as Unicom, China Telecom [Weibo] have a large number of low-level user data, which can be simply private and then sell profitably.

The mature business model has withstood the test of time by providing large numbers of data services to support the company's development and to compensate users for free services. But for any user data trading, but also to deal with the user's privacy information, through the privacy of the way to protect the user privacy.

Forecasting is the core of value-added services

On the basis of large data mining, the value-added services derived from the large data domain is the most imaginative space business model. What is the core of large data value-added services? Prediction！ Large data has led to a shift in the business analysis paradigm, from past sample patterns to current full data patterns, from the past to the present, with a small probability, which can be more accurately predicted than before. At present, the formation of the following several relatively mature business model.

Personalized Precision marketing. A mention of "spam message", everyone is very tired, this is because the marketing side seems to be valuable, "right" information, sent to the "wrong" user hand. Through the detailed analysis of the user's large number of behavioral data, after deep mining, can be implemented to the "to" Users send "right" information. For example, large shopping malls can be a member of the purchase record in-depth analysis, to explore the relationship between users and brands. Then, when a loyal user of a brand receives the brand discount message, it is not boredom, but joy. such as the Czech letter Tatsu, China branch Jia speed and so have a strong data processing technology companies in mining, precision advertising analysis has a wealth of experience.

The decision guidance of enterprise management. For a large number of user data, the use of sophisticated data mining technology to analyze the various trends in the operation of enterprises, so as to provide a strong guide to decision-making. For example, car sales companies can analyze a large number of users on the network, the user's most concerned and most dissatisfied with the function, and then the next generation of their products targeted improvements to improve customer satisfaction.

Overall, from the macro level, large data is our future society's new energy, from the micro-level of enterprises, the large data analysis and application capacity is becoming the core competitiveness of enterprises. Deep research and active exploration of large data business model is of vital importance to the future development of the enterprise.

(Responsible editor: The good of the Legacy)