Big Data business Revolution world will be centered around you

What is big data?

The word "Big Data", published in September 2008 by Nature magazine, describes the increasingly important role of data in mathematics, physics, biology, engineering, and socio-economic disciplines, and is now the new favorite in the business world. In our view, large data has four characteristics, such as large scale, high value, cross multiplexing and holographic visible. In particular, the last two features reflect the fact that large data is not only a measure of "larger data" but also a qualitative leap from previous data organization and application forms.

For decades, revolutionary changes have been made in the way information is produced, organized and circulated, in which individual users have for the first time become the main body of information generation and circulation. You use QQ and MSN Chat, browsing and shopping in ecommerce website, paying with credit card, sending Micro bo ... All this will be transformed into data stored in every corner of the world. Both the amount of information produced, the amount of information available, and the amount of information exchanged in circulation have all been exponentially increasing.

Large data and sustained high-speed growth are the first features of big data.

While the explosion in data size, the added value of data does not appear to be growing at the same pace. We believe that the crux of this lag is the lack of efficient methods and technicians that value from massive data.

For real big data, the growth of its value should be proportional to the growth of the scale, even faster than the size of the growth.

The first two features are primarily for single data, and the following two features emphasize new forms of organization and application between several data. We need to find and implement data between one and a far greater than two value, during which the most critical issues to play the data externalities, such as the State Grid smart meter data can be used to estimate housing vacancy rate, Taobao sales data can be used to judge the economic trend ... Taking user as the center, combining the data left by users in different systems and making full use of the personalized data mining technology, is one of the most feasible ways to realize the great value through data crossover. In summary, large data requires that the data can give full play to its externality and generate great value beyond simple tax by merging with some related data.

Personalized

In the age of large data, personalization will subvert all traditional business models and become the ultimate direction and new driving force for future business development. With the explosion of consumer behavior data, new business theories and business models are emerging, whether it is accurate socialization marketing or market segmentation based on user preference, the trend is consistent, that is, for each end consumer to provide their most desired products and services.

At the same time, the ability of consumers to acquire, filter, filter and analyze information is not improved, which leads to the time cost and annoyance cost of the consumers getting useful information. In addition, with the changes in the Times, consumer heterogeneity is also increasing, this heterogeneity is reflected in the consumer shopping, friends, reading and other aspects of life's interest in the different preferences.

Large data provide sufficient nutrients for personalized business applications and fertile ground for sustainable development, based on the cross fusion of the data, and holographic visible consumer behavior and preference data, the future of business can be accurately based on each consumer's different interests and preferences to provide them with exclusive personalized products and services.

In the information industry, which is represented by internet and mobile Internet, because of the traceability of user's individual behavior data and the relatively low marginal cost of implementing personalization, the first step is to break the cocoon based on the personalized commercial application. In the field of electric business, Amazon took the lead through personalized technology for the user Intelligent Shopping Guide, greatly enhance the user experience and sales performance. In the near future, personalization technology and application will be extended to every area of people's life.

With Google, Apple, Tencent, Baidu, these internet giants and some Third-party data platform enterprises to speed up data integration and openness, there will be a large data based on the new business model.

2d mode

Data-oriented business model, referred to as 2D mode, is a business model that takes data as the only input to a data product that is exposed to a particular audience as the only output. The core of this model is the data platform provider, which collects data from data providers, provides basic storage, indexing, and computing capabilities, and develops a series of 57 data products on its own. Each data product is present in the form of an open API interface on the platform.

For example, the use of Sina Weibo data can develop a product, each reference to the product, you can see a designated account for one months the most frequent interaction of 10 accounts. If you have some seed users, an interactive game development team can use this product to find a user group that has a strong interaction with the players and promote the game to them. Platform vendors can also use a number of data development products, with these data, e-commerce companies can develop personalized search and referral services.

At the same time, the application development team can use these API interfaces to optimize product or support promotion, the data product development team can refer to the more rough data products, optimize the introduction of better data products and feedback to the data platform. In this pattern, access to some APIs can generate a fee that is distributed among platform vendors, data providers, and data product developers. Governments and industries play the role of normative processes and regulatory data.

This model is open to existing data products, and application developers and data product developers can create more valuable applications and data products-the former can bring us data and the latter can generate revenue for us.

The premise that this data platform can produce huge value, is to guarantee the hologram of the data to be visible, that is to listen to all kinds of requirement details at any time, develop various API products that satisfy various industries.

To sum up, large data will lead us into a highly developed era of business intelligence, personalized applications will play a huge business value of data, while the 2D business model will become an important development direction of large data. In the future, the world of information based on big data will be centered around you.

(Responsible editor: The good of the Legacy)