Big Data Display
Application Of E-commerce
Application Of Financial
Country
Order
Cumulative exports($)
Beijing Port Order
Beijing Port Cumulative Exports($)
ShangHai Port Order
ShangHai Port Cumulative Exports($)
ShenZhen Port Order
ShenZhen Port Cumulative Exports($)
Regional sales show
( unit: parcel )
Price interval display
( unit: parcel )
Goods Name 0-50(USD) 50-100(USD) 100-200(USD) Over200(USD)
E-commerce for cultural products - there are " numbers" in mind
The role of big data for the development of e - commerce is more and more prominent, e - commerce began to pay attention to the collection and excavation of large data.
Especially with the changes in the mobile internet today, consumer habits are also changing,
The screen gets smaller, the data gets bigger, and big data has more reason to go to the front desk. Excellent e-commerce companies are also a good player on big data,
The most typical, such as Amazon and Ali.
Why should e-commerce enterprises master big data
Accurate marketing case of cultural products
From the complex data mining, analysis of the user's behavior habits and preferences, to find more user " taste" products and services, and combined with user needs to adjust and optimize themselves, is the value of big data. The value of big data needs to be mined and analyzed, and this process requires it equipment to service completion.
Cumulative export volume: Unit (parcel)
Hot sell area
Hot month
Cumulative export volume: Unit (parcel)
Hot sell area
Hot month
Cumulative export volume: Unit (parcel)
Hot sell area
Hot month
Cumulative export volume: Unit (parcel)
Hot sell area
Hot month
Cumulative export volume: Unit (parcel)
Hot sell area
Hot month
Cumulative export volume: Unit (parcel)
Hot sell area
Hot month
Cumulative export volume: Unit (parcel)
Hot sell area
Hot month
Cumulative export volume: Unit (parcel)
Hot sell area
Hot month
Cumulative export volume: Unit (parcel)
Hot sell area
Hot month
Cultural Industry Supply Chain Finance
In recent years, the cross-border electricity supplier financial demand continues to grow, the commercial banks cross-border electricity supplier service mode of operation, service capabilities put forward higher requirements.
platform through the collection of massive cultural products cross-border trade data,
uses data analysis model, Internet, cloud computing and other information-based ways to manage, produce, and consume data for customers
and commercial banks' own operation and operation data in real time or non real time analysis,
explores the laws or trends that make it difficult to detect, thus making an approximate rate of forecast for customers and their future behavior or trends,
improves service efficiency and reduces financial risk.
Big data application benefits
Customer mining
Effectively identify customers, identify customer needs and psychology, and facilitate more accurate customer marketing and maintenance.
Product research and development
Through the export of cultural products big data analysis, and thus in product development and process development, more tend to be reasonable, enhance customer experience.
Risk identification
Cultural products, cross-border electricity supplier business involves a wide range of products, professional strong. Through the platform, big data and model technology, the risk control advantages. For financial enterprises in the credit approval and distribution, all types of market and trade transactions, guarantees and credit certificates and other activities to help.
Operation management
With big data monitoring system can monitor the rationality of each transaction occurs, and combined with the experience and regularity of the previous data, through the simulation, the probability of the most reasonable solution, to enhance the quality and efficiency of operation and management.