海关数据资讯服务经过十年左右的发展，现在被广泛应用于医药化工，农林矿产，机械重工，电子电器等各个领域。随着大数据时代的到来，这些数据分析将越来越重要。
Developing by about 10-year, Customs information service is now widely used in the pharmaceutical industry, agriculture, forestry, minerals, machinery, electronics, and other fields. With the arrival of the era of big data, these data analysis will become increasingly important.
数据最主要的的两条特性“及时性”“准确性”。我们来看看如何通过数据来分析市场，开发客户的。
the main two characteristics of data are “timeliness” and “accuracy”. We come to see how to analyze and develop customers with data.
1.分析采购商的大小，采购习惯，采购周期等.
To analyze the size, purchasing habits, procurement cycle and so on of purchasers.
2.要确认具体采购的产品是否与贵公司产品相符，因为国际统一HS编码为前6位，后几位各国统计方法不同，因此必须确认将当地编码与国内编码相对应。
To confirm whether the specific procurement products are consistent with your company's products, because the first 6 number of HS code are unified internationally. But the following few numbers are different in different countries. Hence, it is necessary to confirm that the local code is consistent with domestic code.
3.分析竞争对手情况，判断竞争对手的走货日期，成交方式等等。
To analyze situation of competitors. You can judge the competitors' delivery date, terms of payment and so on.
4.根据采购商公司名称（关键词）上各大搜索引擎搜索采购商官网及联系方式（原始的提单数据中是不包含联系方式的），至于具体的联系环节就要看公司的业务员水品与公司产品是否能够满足对方的要求了。
According to the company's name (key words), search buyers’ official website and contact information (the contact information is not included in the original B/L), as for the specific contact way, it depends on salesmen’s level and whether the product can meet the requirements of the company.
最后，结合庞大的数据量，生成分析报表。报表内容主要包含以下几项：
Finally, combining with the huge amount of data, generate analysis report. The report mainly includes:
1.采购商排名分析：直观反映当地采购商梯队，各个公司采购商规模，占比情况一目了然，结合本公司生产能力来挑选出哪一个梯队的采购商更加适合。
Analysis of purchasers’ ranking: intuitively reflect the local purchasing order and each company’s procurement scale, and then combine with the company's production capacity to pick which one echelon of the buyers are more suitable.
2.供应商排名分析：将出口到该市场的供应商按金额排名，直观反映竞争对手情况。
Analysis of suppliers’ ranking: rank by amount of each supplier who exports to this market, to visually reflect the situation of competitors’.
数据是辅助工具，关键点还是产品与销售人员的素质过不过硬。在大数据时代，面对庞大的数据量，不能认为简单的通过数据就可以谈成客户，更不是通过一通电话，一封邮件就能简单的确认对方信息。
data is the auxiliary tool, and the key point is the high quality of the product and salesmen. In the era of big data, in the face of a huge amount of data, we cannot hold the view that customers can be caught by data and a call or an email.
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