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Why do you need Internet behavior analysis?

Some risky behaviors in the organization are hidden, difficult to spot and difficult to manage.
Massive online behaviour logs contain unlimited value. In-depth analysis not only perceives risky behaviours on an organizational level but also detects more business value. Users need a comprehensive platform that can simply and efficiently excavate business value.

The Look of Innovation

Sangfor Business Intelligence Platform (BI) is the newest major innovation within Sangfor IAM. It is based on IAM’s massive internet log and conducts in-depth modelling analysis of user behaviour characteristics. It constantly utilizes behavioural awareness applications in different scenarios and continuously uncovers valuable data, helping organizations understand behaviour risk and simplify O&M. 
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Intelligent Solutions


Multi-system integration - data acquisition and data analysis

·IAM is responsible for collecting data, and BI is responsible for data analysis and display.
·BI and IAM are deeply integrated to realize the intelligent linkage between data analysis and Internet behavior control.
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Business Intelligence Applications

Various data analysis methods are imbedded into various applications. Each BI application helps users solve a business problem. In addition, the applications are decoupled from the platform and can be obtained on demand. 
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Application Store

The application store provides centralized management of all BI applications. Application installation, update and removal are as simple as app management on a mobile phone. 

Our Advantages


In-House Developed Independent Data Analysis Platform (IterateDB)

·100% in-house developed TB level data analysis platform performing queries on the second level.
·MapReduce distributed software framework is integrated into the platform, ensuring excellent expansion capability.
·Utilizing a unique component-based mode where components can be disposed of after use, providing significant savings in performance overhead. 
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Data Analysis is More Accurate

·Integration of graphic computing and machine learning technology to make modeling analysis more scientific.
·Human-Machine flow separation technology eliminates irrelevant flow interference, making statistical analysis more accurate.