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本篇paper代写- Big data application scenarios讨论了大数据应用场景。大数据没有应用场景就没有价值。当用户在使用一些产品时，最可能在某个空间，也就是场景中进行应用。而且在对用户场景进行设计时，需要考虑到很多未知因素。需要考虑客户的满意程度，以及对该应用场景的一个评价。根据客户对应用场景提出的不足之处进行具体的分析，并提出相应的改进方案。随着信息化技术更新换代的速度不断加快，从而出现了很多形式的应用场景，每个应用场景存在的不确定因素也是比较多的，如何在不确定的环境下，为客户提供满意的服务，就需要对不同的应用场景进行分析，使客户的期望值达到最大化，更好的满足客户的需求。本篇paper代写由51due代写平台整理，供大家参考阅读。

Data is a kind of new technology that emerges gradually in our country after entering the 21st century. The so-called big data is a data set with large amount of data and complicated data categories. This kind of data puts forward the denial to the traditional database, thus big data arises at the historic moment, also realized the enterprise management and the management better.

The principle analysis of big data is mainly introduced from the following two aspects. First, how big data is collected. First, in the process of data collection, some links need to be dismembered to reduce the complexity of the process. The main requirements of big data collection are accurate and comprehensive, so as to achieve specific analysis of specific data. Second, in the process of big data collection, data from traditional sources and structured data from the Internet are needed for support. Although the application of traditional system in promoting social development has shortcomings, it can still be used for reference in providing data. The main application system has accounting system, HR system and so on. The structured digital system provided by the Internet is relatively accurate, but the data generated by sensors and other devices in the Internet of things will complicate the application, mainly due to the timely matching of data production volume and intake. The analysis of mining needs to be introduced from three steps. First, identify the source of the data. Data collection methods are various, including manual collection, automatic collection and so on. Data collected by different methods need to be clearly classified, because the accuracy of data collected by different methods is also different. Second, be clear about the availability of the data. The collected data can be applied in many fields, some for real-time on-site judgment, and some for long-term strategic decisions. Finally, measure the value of the data. There needs to be a comprehensive consideration of the measures used to collect the data. It is also worth considering what kind of measurement is needed for different data analysis, and whether the measurement can reward and reward the right behavior.

Big data has no value without application scenarios. When users are using products, they are most likely to use them in a space, or scenario. And there are many unknowns to consider when designing user scenarios. First, you need to consider customer satisfaction and an evaluation of the application scenario. Then, according to the customer to the application scenario of the shortcomings of the specific analysis, and put forward the corresponding improvement plan. Finally, with the acceleration of upgrading information and technology, thus there are many forms of application scenario, each application scenario is also more uncertain factors, how under the uncertain environment, to provide customers with satisfactory service, you need to analyze different application scenarios, to maximize customer expectations, to better meet the needs of customers. In China, the typical representatives of big data application scenarios mainly include search engine companies, social networking companies and e-commerce companies. These application scenarios are representative at present, and as a whole, customers have relatively high evaluation on them. As for baidu, the search engine company, it can solve all kinds of doubts of users, and the whole operation process is relatively convenient. In practical application, it also provides people with very convenient services. However, baidu also has some disharmonious notes in recent years, some lawless elements use baidu platform for improper operation, which is not conducive to the healthy growth of young people. As for the social networking company tencent, it is inseparable from People's Daily life and is increasingly closely related to our daily life. Using QQ, WeChat and other social software can not only meet our normal communication needs, WeChat and other platforms can also conduct online and offline payment, which facilitates a lot of transaction processes. At present, a major disadvantage of tencent's application is that some criminals use social software to commit fraud, many people have been duped. For the e-commerce company taobao, the development speed in recent years is very fast, the development trend is also very good. However, with its development, some platforms with high similarity, such as Vipshop, suning tesco and jd.com, also appear correspondingly, and the corresponding industry competition will be increasingly big.

Although the application of big data promotes the development level of Chinese enterprises to some extent, there are still some problems in the practical application. User privacy issues, for example, in a big data environment, all user privacy is exposed in the perspective of the staff, some criminals use illegal means to get users to seek profits of large amounts of data, it will inevitably the credibility of the enterprise, and even some serious illegal and criminal activities also can cause large mass incidents, affect social harmony and stability.

This paper analyzes the concept and application principle of "big data", and makes a simple analysis of its application scenarios, typical representatives and existing problems. To sum up, in order to better promote the development of Chinese society, it is necessary to actively improve the problems existing in practical application. In the big data environment, it is necessary to better realize big data mining and make technical innovation in application scenarios.

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