No major data processing, no revival of shipping

As the world has created more and more data, and the data has become more and more rapid, the so-called "big data Age" is undoubtedly in sight. The generation and possession of large data has become the core issue in all industrial fields today. The establishment of a unique large http://www.aliyun.com/zixun/aggregation/14345.html "> Data processing program has become a new shortcut for all enterprises to realize transformation and occupy the commanding heights of the future industry." By extension, even in the political, economic, military, social, large data has become the opportunity to change the way the past governance. Nowadays, with the help of Internet technology, consumption, payment and social intercourse, which are closely related to people's life, are forming a new "class society" based on large data, which will profoundly affect the process of human society.

However, large data is not "natural" formation, the complex human activities produced by the nature of the data is isolated data, "more data" does not represent "large data", this may be many of our traditional managers entangled in data and "big data" easily lost place.

Data into "Big data", in other words, industry into the "big Data Age", I think there must be four conditions, namely: platform, real-time, open, parsing. However, some industries have neither a unified platform nor a smooth real-time data, nor a public "data system", of course, do not have the ability to parse data. In this regard, we can assert that the industry is still "traditional", did not realize the transformation, and has not even begun to change.

Looking at the current shipping industry, unfortunately, although the shipping industry to produce a large number of data, but these data are currently maintaining a "no" state: LAX standards, fragmentation, slow processing, target missing. The shipping industry may thus become a "triple-nothing" industry in the data. The industry's data collection and resolution model is still being exchanged for several statistical forms, daily or weekly, or even monthly. This is typical of the shipping industry's "Data survival Model", and to a large extent, these forms are still mysterious, hidden. One of the characteristics of the "Big Data Age" is that it is "open", and there is no big data in the open. In terms of political science, the data lacks "democracy" and its interests cannot be maximized.

Shipping industry has data, but the data is closed in various institutions and enterprises, the formation of large data and large data processing solutions are not yet found. The outlook for the "Big Data Age" of the shipping industry can only be cross-referenced. Comparing the shipping industry to the current most popular service, alas, the results are almost hopeless, and the shipping industry's "Big Data Age" is not yet hopeful-it is hard to imagine a conservative industry with its current arrogance to accept a public platform to talk to oligarchs and grassroots.

How many organizations, how much time how much money, but difficult to usher in "shipping large data." The information of shipping is difficult to choose between "tradition" and "revolution", the road of reality is actually more complicated than the road of data. There are many shipping data agencies in the market, domestic and foreign, emerging traditional, but they are based on static database and static data based market reports as the fist products, the industry also accept such data patterns and services.

What would be the consequences? So, we are still worried about who will monopolize the market, who will manipulate prices, and even the entire industrial chain in several sectors at the same time overcapacity. I dare say, any industry with overcapacity is certainly the information opaque industry, it is certainly not able to form an effective large data industry.

If we go deeper, there's another serious thing: the data is just raw material, whether searching for undervalued companies and ships, or entering new areas at a more appropriate time, or even the recognition and adjustment of industrial structure, data can only reflect the current state of a thing, is the basis of judgment but does not provide a solution. Without this large data, even the opportunity for decision-making is not, incomplete data even produce illusion. Mathematicians once said: It's easy to lie with data, but it's hard to tell the truth with data.