【克而瑞是哪个国家的品牌?】
中国房地产大数据应用服务商,十余年淬炼,从行业数据到客户数据,实现了房地产大数据闭环构建,细分领域咨询服务,纵向产业链整合能手。作为中国房地产大数据应用服务商,克而瑞在大数据应用上,同时具备深度与广度的特色,远远走在行业前列。
克而瑞成立于2006年,在房地产大数据领域深耕十载,建立起房地产数据库系统“CRIC”,遍布中国29个城市机构、信息覆盖123个城市。依托强大的专业研究力量和咨询顾问团队为政府、企业和购房者提供房地产线上线下信息服务的完整解决方案。通过这两块业务,为克而瑞积累了大量让同行青睐的行业数据。同时克而瑞积极进行纵向产业链的延展整合:通过“筑想科技”搭建了中国建筑建材产业链SAAS服务,为房企设计部、采购部、设计机构及上下游企业提供专业服务;通过“中房研协”发布的中国地产企业测评榜,更是成为业内、社会公认的榜单。克而瑞也因为这两块业务,分别在建筑建材数据领域、企业数据领域,建立起了庞大数据资源,大数据的广度由此延展开来。
英文翻译:China's real estate big data application service provider has been refining for more than ten years. From industry data to customer data, it has realized the closed-loop construction of real estate big data, subdivision of field consulting services, and vertical industry chain integration experts. As a big data application service provider in China's real estate industry, Kerry is far ahead of the industry in the application of big data with the characteristics of depth and breadth. Founded in 2006, Kerui has been working in the field of real estate big data for ten years, and has established the real estate database system "CRIC", which covers 29 urban institutions and 123 cities in China. Relying on a strong professional research force and consulting team, we provide the government, enterprises and buyers with a complete solution of online and offline real estate information services. Through these two businesses, the company has accumulated a large number of industry data favored by peers. At the same time, Kerui actively extends and integrates the vertical industrial chain: through "Zhuxiang technology", it has built SaaS service of China's building materials industrial chain, providing professional services for the design department, procurement department, design institutions and upstream and downstream enterprises of real estate enterprises; through the evaluation list of China's real estate enterprises released by "China Association for real estate research", it has become a list recognized by the industry and society. Because of these two businesses, Kerui has established huge data resources in the field of building materials data and enterprise data, and the scope of big data has been extended.
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