基于大数据的房地产行业风险预警模型研究——以沈阳市为例
Research on Risk Early Warning Model of Real Estate Industry Based on Big Data—Taking Shenyang as an Example

互联网技术在这几十年中迅速发展，让我们的生活也产生了很大的变化。对于我国经济发展也产生着不可比拟的作用。正是在这样的时代背景下，各行各业所要面临的竞争也变得非常剧烈。在这样剧烈竞争的市场上，企业应该如何提高自己竞争力是跨越不过的课题。互联网的相关技术是我们获取信息的有效渠道。信息的种类多种多样，因此也需要企业对其内外部环境进行相应的分析。构建基于大数据的企业预警模型对于企业获得战略地位有着重要的作用，对于瞬息万变的市场信息做出精准决策起着非常主要的作用。本文介绍房地产企业以及大数据的相关内容，利用大数据技术对房地产行业进行风险类别的判断以及完善相应的预警机制，并形成一套完善的房地产行业竞争情报预警模型。在情报预警的过程当中，准确查找到有用的信息，利于企业对未来有可能遇到的情况及时作出反应。
The rapid development of Internet technology in the past few decades has made great changes in our lives. It also plays an incomparable role in China’s economic development. It is in this era that the competition faced by all walks of life has become very fierce. In such a fiercely competitive market, how enterprises should improve their competitiveness is a topic that cannot be crossed. The relevant technology of the Internet is an effective channel for us to obtain information. There are many kinds of information, so enterprises need to analyze their internal and external environment accordingly. Building an enterprise early warning model based on big data plays an important role in gaining strategic position for enterprises and making accurate decisions based on rapidly changing market information. This article introduces the real estate enterprises and the relevant contents of big data, uses big data technology to judge the risk categories of the real estate industry, and improves the corresponding early warning mechanism, and forms a complete set of competitive intelligence early warning model for the real estate industry. In the process of intelligence early warning, accurate and useful information can be found, which is conducive to the timely response of enterprises to possible situations in the future.