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Framework and requirements for cloud computing 1

Table I.3 – E-commerce platform big data analysis

Title E-commerce platform big data analysis
Description Consumers shop online using an e-commerce platform, including search and checking of
product information. The CSC:BDSU (e-commerce platform providers) use big data applications
to implement backend supporting services, such as product recommendations, sales volume
prediction, user behaviour analysis, etc. Customers get online shopping related services, such as
authentication, products searching, checking, ordering and shipping through the front-end
functions of the e-commerce platform. The e-commerce provider manages (creates, reads,
updates and deletes) the information about products and inventory information through back-
end functions of the e-commerce platform. Related big data application services are built upon
the private or public big data infrastructure provided by the CSP:BDIP. The operational data of
the e-commerce platform is collected, stored and pre-processed by the CSP:BDIP. In addition
the CSP:BDAP analyses the operational data to give the prediction information.
Privacy rules are followed, if applicable.
Roles/sub-roles – CSN:DP
– CSP:BDAP
– CSP:BDIP
– CSC:BDSU
Figure

Pre-conditions – The CSN:DP can provide user consumption behaviour data such as shopping frequency,
often purchased items, payment capacity, etc.
Post-conditions – The CSP:BDAP can have responsibility for providing analysis result of user consumption
behaviour data such as prediction information and user behaviour analysis.
– The CSC:BDSU gives accurate and personalized sales and promotions such as product
recommendations, sales volume prediction and user behaviour analysis.
Derived – Data collection (refer to clause 8.1, requirements, 3, 6)
requirements – Data analysis (refer to clause 8.4, requirements 8, 9, 12)
– Data management (refer to clause 8.7, requirement 5)

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