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企业数字化运营专家

BIG DATA APPLICATION

The analysis result is not the end. We, through the analysis of scheme according to the real application scenario of customer, recommendations on the existing system optimization scheme and suggestion a new generation of business system driven by data analysis, and the feedback analysis of business data, continuously improve data analysis model and the application process to dig the commercial value of data in a real sense.

Digital Platform

Data is the basis of data analysis. Different from previous solutions for data analysis, our scheme starts with a thorough understanding of customer’s business model and corporate strategy, and then offers and suggests data collecting plan for enterprises, which include the model of data content and business data and related data collecting.

  • User Profile
  • User Behavior Information
  • User Health Information
  • User Insurance Information
  • User Test Information

Report Platform

Help enterprises achieve the goal of data-driven business by active proposal on data source content; Moreover, our scheme covers suggestion on construction of business system that involves relevant new data collecting function and modifications of relevant system.

  • Fixed Rule Strategy

    • √ Precise Advertisement Guidance
    • √ High Potential Target Crowd
    • √ Life Circle Division and Management
    • √ Loss Risk Pre-warning
    • √ Loss Reason Analysis
    • √ Integral Budget Ratio
    • √ Establishment of Membership Grading System
  • Data Mining Strategy

    • √ Constantly improve all consumer channels information and gain insight into consumers’ preference
    • √ Set up and perfect the CRM system, the loyalty system, and optimize the customer experience
    • √ Plan, execute and optimize marketing activities

Big Data Application

  • Social Media Analysis
    The content generated through different social media channels provides rich information for analyzing customers’ emotion and public opinion supervision.。
  • Equipment Management
    As more and more devices and machines can be connected to the Internet, enterprises can collect and analyze sensor data flows, including electricity continuity, temperature, humidity, contaminant particles and countless suchlike potential variables.
  • Equipment Management
    As more and more devices and machines can be connected to the Internet, enterprises can collect and analyze sensor data flows, including electricity continuity, temperature, humidity, contaminant particles and countless suchlike potential variables.
  • Cyber Security
    The large-scale occurrence of cyber security incidents, such as cyber attacks on U.S. retailers Target and Sony, has made companies increasingly aware of the importance of rapid recognition of cyber attacks.
  • Supply Chain and Channel Analysis
    Through analysis of the warehouse inventory, POS transaction, and a variety of transportation channels, (such as land, railway, sea transportation) we are able to establish the forecast analysis model, effectively helping with advance replenishment and making inventory management strategy.
  • Pipeline Management
    More and more energy pipelines have sensors and communication functions. Continuous sensor data can be used to analyze local and global issues to indicate whether they need attention or maintenance.
  • Fraud Detection
    Followed by growing fraud and trade, identity theft issue keeps increasing . Financial institutions analyze hundreds of millions of transactions to identify fraud patterns.
  • Price Optimization
    Retailers hope to enhance the overall profit of the product sales to the greatest extent. The estabilishment of the analysis models can combine different kinds of data flows, including competitors' prices, and cross -region sales transaction data.

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