999精品在线视频,手机成人午夜在线视频,久久不卡国产精品无码,中日无码在线观看,成人av手机在线观看,日韩精品亚洲一区中文字幕,亚洲av无码人妻,四虎国产在线观看 ?

How do port and shipping enterprises

2017-12-18 15:52:45ByXuMiaomiao
中國船檢 2017年8期

By Xu Miaomiao

How do port and shipping enterprises

By Xu Miaomiao

U ndoubtedly, today’s world is surrounded by data. For port and shipping enterprises, how to promote the competitiveness of enterprises through information technology and big data technology is a problem that they must face and solve at present.

Sheng Zunkuo, the general manager of data product department of ELANE said that as regards the big data we are now talking about, the biggest puzzle for most of the enterprises is how to connect each independent module, break the information barrier between the systems to transmit the data from one system to the other.

Since the basic information of port and shipping enterprises is patchy and due to the existence of information islands, the efficiency of communication between them is not high. The success of the electronic supplier mainly depends on the collection of technical resources and data resources. The technical resources recruit experts through the society, whereas the data resources use construction of electronic businessplatform, logistics website, shipping service network. It has become the main way for the third party electronic business platform to “access” to data through these platforms which accumulate users’ “traces”.

Sheng Zunkuo said, judging from the port and shipping enterprises, information opening of shipping enterprises is the key to the industry’s big data applications, because a large number of data resources are in the hands of port and shipping enterprises. In the past over 10 years, major global shipping companies continue to advance booking, shipment and standardization of freight track, but it is not easy to connect due to different standard of a number of shipping company’s data. This can be best illustrated by INTTRA and CargoSmart, the two shipping electricity supplier giants, which have not fully integrated the schedule of the shipping companies. In this regard, Xu Kai, director of the information research of Shanghai Research Center for International Shipping believes that it is positive to realize standardization in the future. Many aspects of the whole industry will need to be standardized, such as ship components, model, system, many basic data etc.

How can enterprises realize the maximum value of these resources in the face of so many data resources in their hands? In this regard, Xu Kai said, enterprises are now increasingly aware of the data’s great value produced by operation and accumulation of the information system. Enterprises need to do the preparation as follows:

First of all, port and shipping enterprises need to manage their own data assets very well. Firstly, it is necessary to operate and manage the data assets well. Secondly, enterprises should strengthen the data integration, in the era of big data, only grasping the data in hand is not enough, it must understand and perceive the external data through other channels, and solve some data problems by combining with their data assets.

Secondly, the shipping enterprises need to understand and infiltrate the big data concept into the whole enterprise. Because understanding the concept of big data era is the only possible way to combine these ideas with their specif i c work. These front-line operators are really the innovators on the front-line.

Thirdly, port and shipping enterprises must have talent pool for big data. The key to this kind of talent pool is to cultivate compound type talents. This compound type refers to the talent not only understand the enterprise business, but also certain technologies.

Finally, port and shipping enterprises need to select large data technology solutions to suit their own industry characteristics. Big data is not the pursuit of the forefront and the most high-end technology, applications of big data should be gradually pushed forward by practical problems. In the early stage, we should reduce the cost of trial and error, choose appropriate technology, reduce risk, but also choose the point that can be easily solved, making big data produce actual benefit for us. The operation and maintenance cost of information construction is always a realistic problem they must face. If possible, companies should try to develop their own information systems in the cloud computing environment. In terms of the construction of private cloud, some domestic port and shipping enterprises have targeted solutions of big data, which can effectively reduce the initial cost of data acquisition and construction of data center, enterprises may have a try in this aspect.

主站蜘蛛池模板: 曰AV在线无码| 国产精品熟女亚洲AV麻豆| 波多野结衣无码视频在线观看| 国产高清免费午夜在线视频| 伊人福利视频| 国产精品视频白浆免费视频| 国产区成人精品视频| 青草视频网站在线观看| 亚洲va视频| 国产在线精品网址你懂的 | 在线色国产| 国产精品专区第1页| 精品一区二区三区视频免费观看| 免费一级毛片| 无码网站免费观看| 久久综合国产乱子免费| 国产成人喷潮在线观看| 国产亚洲高清视频| 福利在线免费视频| 在线观看国产网址你懂的| 日本91视频| 日韩小视频在线观看| 欧美精品成人| 中文字幕资源站| 午夜毛片免费看| 无码精品国产VA在线观看DVD| 久久semm亚洲国产| 青青草国产一区二区三区| 精品久久综合1区2区3区激情| 98精品全国免费观看视频| 精品国产免费观看| 曰AV在线无码| 99人妻碰碰碰久久久久禁片| 日本成人福利视频| 国产噜噜噜| 女同久久精品国产99国| 国产一区二区三区精品欧美日韩| 99久久国产精品无码| 54pao国产成人免费视频| 小蝌蚪亚洲精品国产| 波多野结衣久久高清免费| 国产乱子伦手机在线| 在线观看网站国产| 国产sm重味一区二区三区| 一本大道香蕉高清久久| 亚洲综合色区在线播放2019| av手机版在线播放| 国产女人18毛片水真多1| 欧美亚洲一区二区三区在线| 在线观看无码a∨| 久久综合九色综合97网| 久久久黄色片| 色成人综合| 成人在线不卡| 国产极品美女在线播放| 国产精品黄色片| 亚洲激情99| 手机在线免费不卡一区二| 美女内射视频WWW网站午夜| 最新日本中文字幕| 欧美激情视频一区| 91精品网站| 91在线播放免费不卡无毒| 一区二区影院| 99精品影院| 国产精品网址你懂的| 欧美成在线视频| 久久影院一区二区h| 香蕉久久国产精品免| 幺女国产一级毛片| 久久久久无码精品| 强奷白丝美女在线观看| 久久久久久久蜜桃| 人禽伦免费交视频网页播放| 国产SUV精品一区二区| 2020国产在线视精品在| 国产一级二级三级毛片| 国产又黄又硬又粗| 久久无码免费束人妻| 亚洲综合专区| 欧美日韩成人在线观看| 久久综合AV免费观看|