Comments: Rethinking the value of large data monopoly and openness

The value of large data is self-evident. From the commercial value, whether it is the accurate recommendation of the electric business, or Baidu's Network Alliance promotion, or micro-bo precision Marketing, ordinary users can intuitively realize the large data to users and businesses bring business value. From the perspective of social value, large data gives users the ability to understand http://www.aliyun.com/zixun/aggregation/35574.html "> Social hotspots, forecasting trends or environmental changes, etc." This value continues to ferment as large data is applied in depth, in various areas of society, such as finance, manufacturing, energy, commerce, logistics, agriculture, meteorology, and so on, in different regions of the world, different types of datasets are interconnected, creating unprecedented insights and predictions in various fields, Various data based business models have been designed to bring great economic and social value.

Because of this value, industry, business and government are doing their best to collect data, occupy data and use data. Much of this data is thought to be public data (which, of course, can be understood as belonging to a website, only the site is in accordance with industry rules to open the data out), of course, there are many data is the Enterprise internal server log data, as well as a variety of transaction data, this part of the data enterprise has not been open, Regarded as belonging to an enterprise. Governments and companies also have a lot of data collected offline, and for their own benefit, this part of the data is very limited and most of the data is not open. The government department said, for the sake of safety, these data only belong to me, Ali said Taobao data is mine, Sina also said that micro Bo data is my, ..., so all the enterprises to gather data, occupy data. Even duplication of work is a huge waste. Bat even directions, want to include all the data in the world, but by their own power, this can be done?

This creates a serious problem! The fragmentation of data and the emergence of data monopolies. We have to ask, how did the big data come from today? mainly from the Internet. Why the Internet? Because data needs to be exchanged and shared among different computers, different users, and different countries. Because of the need for data sharing, the Internet was created because the Internet produced large data. The data is there, should be in a shared open Internet pool, should belong to the global Internet, but also belong to everyone, there is no need for every Internet enterprise to replicate the Internet in a copy of data. But for business or interest or other considerations, data in the Internet has been circled and affixed to private property, not to be labelled. Thus, today's large data by various types of commercial organizations occupy, control, became the resources of these institutions, assets and core competitiveness, into their hands of the baby, not easy to share, also refused to open. This trend continues, large data are big and small data merchants monopoly, fragmented, became a new "large Data island", is bound to make large data connection value is greatly reduced. Because this violates the nature of data value, the value of data comes from openness, connectivity, and sharing, which solves the asymmetry of information. The monopoly of large data runs counter to the nature of large data and ultimately destroys the value of large data!

Data transaction is a kind of market mechanism to solve data island. But at present, large data monopoly caused by large data sources of the rich and poor gap is too large, large data trading is still between the rich game, ordinary cock silk and small and medium-sized enterprises, can only enjoy a very insignificant data dividend. Many innovative start-ups in the big data field have been hit hard by the lack of data. Over the long run, the big data divide will grow deeper and wider!

After all, big data was originally an open source on the Internet. Should return to the open nature. The Government should take the lead in opening up. But the fact that public data is in the hands of Internet companies and that truly great internet companies should take the lead in actively opening up the data is a big expectation for bat. A variety of data-open organizations will be born, together through social networks, to facilitate the openness and sharing of data.

The real big data business model innovation is the creation of two of innovations based on data openness and sharing, which can really inspire the productivity of large data. Like the Internet portals of the year, content-charging portals have broken down and content-free sites have flourished. Companies and organizations that really push for big data openness will survive in a healthy way, and the big data monopolies that run counter will sooner or later be overturned, crashing down. To subvert large data monopolies must be the advocates and practitioners of large data openness. BAT in the big data age is bound to produce large data start-ups that have real, big data thinking, with data openness and shared thinking.

The economic and social value of large data can be more unimaginable than the nature of the

to allow large data to return to openness and share.