2. CGPAY钱包

      Client Profile
      A well-known international sporting goods company with multiple international sports and outdoor brands, is facing the challenge of internal data fragmentation and digital transformation.

      Business Challenges

      • Multiple brands and departments within the company use their own systems, leading to data isolation.

       

      • After experiencing the failure of building a big data platform and business adjustments, there is still a need to establish a data platform.

       

      • There is a need to achieve unified data calling and digital transformation to support new business requirements.

       


      Solution

      Digital China provided the customer with a data analysis infrastructure construction plan based on actual business scenarios, integrating data from multiple departments such as sales, finance, and supply chain, achieving cross-departmental system data integration and the construction of a data middle platform.


      Solution Advantages
      • Comprehensive Data Integration:
        Integrate cross-departmental data and systems to build a centralized data middle platform, achieving seamless connection and unified management of data.
      • Efficient Autonomous Analysis:
        Provide pre-built business data sets and drag-and-drop analysis tools, allowing business users to quickly conduct multi-dimensional data exploration.
      • Simplified Reporting Process:
        Optimize the production of financial and business reports, reduce the consumption of human and material resources, and enhance the efficiency and transparency of data processing.
      Values
      Solving Data Analysis Issues:

      Providing business departments with a unified data analysis tool and simplifying the report production process.

      Establishing an Analysis System:

      A complete terminal flow analysis system is established to enhance data insights.

      Improving Reporting Efficiency:

      Reducing the human and material consumption of financial reporting and optimizing the clarity and transparency of data flows.