Industry Clients
Success Stories
AEON - Project Background
AEON is Asia's leading comprehensive retail and service enterprise group, with over 500 member companies. In recent years, as AEON's business continues to grow, the role of data in business promotion has become increasingly prominent. The group fully recognizes the importance of data platforms for business development and has initiated a data middle platform project to establish a unified data platform connecting the group's front-end and back-end core business systems. Through the data middle platform, business sector data is aggregated, enabling data interconnection, standardization, and asset formation. Based on technology and big data capabilities, it provides reusable data services and capabilities for business and data development teams, creating a data support platform for AEON's digital transformation.
Project Objectives
- 01
Integrate Global Data Assets
Build a unified data asset system, establish data asset management framework, standards, systems, and processes; set up big data platform infrastructure, define data standardization models; achieve data asset sharing and exchange, realize offline and real-time data calculation and distribution.
- 02
Provide Regular Data Services
Conduct data asset service operations, achieve full lifecycle management of data and closed-loop management of global data assets; build data service platform, deploy data service strategies; create data asset service catalog, realize data asset service and empower business operations.
- 03
Create Data Intelligence System
Build data science platform to continuously mine data value, drive data application and business model innovation, and support business intelligence construction; transform the group's data department from data service to service business, complete the integration of information architecture and data architecture, gradually establish a data value open system for the group's industry chain.
Solution Architecture
Customer Benefits
Business Data Interconnection
Based on the data middle platform, connect consumer data from Web, APP, mini-programs, store systems, and various business systems including membership, stores, e-commerce, supply chain, finance, etc. Through data development and algorithm development, form a closed loop of business processes, quickly deliver optimization results to the business end, and realize data feedback to business.
Data Service Model Upgrade
Data R&D personnel achieve large-scale project cross-team collaborative development capabilities through the data middle platform, greatly improving R&D efficiency; business and operations personnel realize online data requirement submission and automatic workflow in the platform, and achieve self-service analysis and distribution of business data through highly visual functions, greatly enhancing data circulation and usage efficiency within the enterprise, completing the transformation from traditional passive data R&D mode to highly reusable development mode based on unified data assets.
Build Unified Data Assets for Group
Upgrade and iterate data assets based on the data middle platform, conduct full-link data lineage data asset accumulation, connect data channels of various business lines, form a unified data portal within the company, and improve the efficiency of enterprise data asset usage.
Data-Driven Enterprise BI Implementation Support
Through the data mining capabilities of the data middle platform, build user profiles, intelligent tags, intelligent pricing, personalized recommendations and other applications, support flexible combination and rapid changes of front-end business, complete the closed loop of data and front-end business applications, promote full-line business intelligence, and realize data-driven and intelligent innovation.
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