Language
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描述
Therefore, actively aiming at the layout of big data and dealing with the challenges of the big data era from a strategic level, financial enterprises have transformed from "business-driven" to "data-driven". Financial institutions through data-driven development will be more efficient than their peers, so they actively target data analysis & amp. Big data layout, through mining data value, intelligent decision-making analysis, and then formulate a more effective strategy, will greatly enhance the core competitiveness of financial enterprises in information technology.
The present situation and Analysis of Financial Industry
描述
Efficient customer value management: although large financial institutions have deposited a large amount of customer and customer information, from big data's point of view, due to the lack of mining and analysis of customer information, the understanding of the stock of customers can not be deepened. financial institutions will encounter difficulties in improving the efficiency of customer management. With the help of big data, customer clustering and customer behavior analysis can provide a more accurate basis for customer activation, customer management and product design of financial institutions, and help financial institutions to enhance the value of their stock customers as a whole, or cross-sell more products. Or activate customers that can bring value.
The Application of big data in Financial Industry
描述
Service center: a combination of virtualization and portal management features to make service operations easier to build and use. The Cloud Service Center is committed to building a simple and easy-to-use service operation portal infrastructure, providing overall solutions for service operations, including unified application and management of cloud resources, centralized deployment of environmental software, asset management, etc., fully support traditional and new enterprise services, accelerate the rapid response of enterprises to IT business systems and improve deployment capabilities, greatly enhance the value of IT assets and improve the efficiency of IT operation and maintenance Reduce operating costs.
Cloud Computing
描述
  • Lock in customers through data, mine new customers from old customers, and lock in hotel revenue management from catering, service and decoration.
    Smart Hotel
    Lock in customers through data, mine new customers from old customers, and lock in hotel revenue management from catering, service and decoration.
  • Data analysis of environment, facilities, safety, transportation, business circle and other aspects focuses on the development of the company.
    Intelligent business management
    Data analysis of environment, facilities, safety, transportation, business circle and other aspects focuses on the development of the company.
  • Environment, facilities, safety, and other aspects of data analysis to increase the purchase rate
    Intellectual property
    Environment, facilities, safety, and other aspects of data analysis to increase the purchase rate
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描述
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