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云 Clickstream Analytics Solution Sheet



Businesses understand that the single view of customer delivers integrated and unified representation of all data for a complete and contextual understanding of customer behavior. Legacy data systems have been built with a one-to-one relationship between the end application and storage platform. For example, an accounting team manages a payment system with its database, the customer care team stores call logs in a CRM system, and a clinic stores patient data in an EMR platform. 
ApacheHadoop® helps create a single view of customer data and uncovers value that might have been within reach, but scattered across multiple interactions, channels, groups and platforms. Organizations can now leverage single customer view benefits like insights to better target, acquire and retain customers, identify opportunities, overcome challenges and grow revenues.



Bring together customer and market data from new sources to target the best prospects. Tailor products to address emerging market opportunities and shifting customer tastes--both at the aggregate and individual levels.

One of the world’s largest retail websites generates 100s of megabytes of clickstream data every hour, but the ad impression and clickstream data were stored in separate platforms. By unifying data in HDP for single view of customer, the retailer optimized ad placement and improved its customer web experience.

广告商采用 Hadoop »



一家大型电信公司使用 HDP 来推断主帐户持有人的人口,以增加交叉销售收入。通过将客户数据与附属帐户有关信息进行组合,他们可以清楚地了解其客户并更好地满足客户需求。

电信白皮书 »


Consolidate existing data with new data types and deliver consistency across different analytic tools. Coordinate and enrich customer-facing activities across multiple touch points to improve the overall customer experience.

A major retailer uses HDP to combine customer data across every system for a single view of customer. This allows the company to personalize service, improving the customer experience and increasing lifetime customer value.

零售业白皮书 »


用例 1
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How do you improve the chances that your online customers will complete a purchase? Hadoop makes it easier to analyze and then change how visitors behave on your website. Here you can see how an online retailer optimized buying paths to reduce bounce rates and improve conversions. HDP can help you capture and refine website clickstream data for a single view of customer to exceed your company’s e-commerce goals. The tutorial that comes with this video describes how to refine raw clickstream data using HDP.


使用案例 2
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借助 Hadoop,您可以挖掘 Twitter、Facebook 和其他社交媒体对话,以分析客户有关您和您的竞争对手的情绪。借助更多的社交大数据,您可以制定更有针对性的实时决策。该视频随附的教程介绍了如何使用 HDP 来优化原始推文数据。