Characteristics and Implications: • Membership analysis system utilizing Retail Tech • Developed as a SaaS service based on AWS cloud • Web-based membership analysis portal system • Efficient analysis visualization dashboards using Tableau • Self-service analysis feature for responsible personnel based on analysis metrics for each client Field Participation • Throughout the project, one key business representative is consistently involved in the analysis and design phases, contributing to decision-making. • During the testing phase, one key business representative and four IT personnel participate in testing. • Operational and expansion management is handled by IT personnel who have undergone separate training for operation and expansion report implementation. Analysis Metrics • Comprehensive analysis of membership status, growth trends, and comprehensive status of new/additional/dormant members per client • Analysis of member activity based on customer attributes such as age, gender, residence, and commercial district • Analysis of customer sales activity by region and branch, including average spending per customer • Analysis of target marketing effectiveness and related sales activities based on customer characteristics • Analysis of the effectiveness of regular and irregular events, among others. |
• Implementation of a system for analyzing membership status and related sales
• Construction of membership analysis dashboards and Self-Service BI system
• Spahros Membership Analysis Service Business Scope: Approximately 70 implementations
Characteristics and Implications:
• Membership analysis system utilizing Retail Tech
• Developed as a SaaS service based on AWS cloud
• Web-based membership analysis portal system
• Efficient analysis visualization dashboards using Tableau
• Self-service analysis feature for responsible personnel based on analysis metrics for each client
Field Participation
• Throughout the project, one key business representative is consistently involved in the analysis and design phases, contributing to decision-making.
• During the testing phase, one key business representative and four IT personnel participate in testing.
• Operational and expansion management is handled by IT personnel who have undergone separate training for operation and expansion report implementation.
Analysis Metrics
• Comprehensive analysis of membership status, growth trends, and comprehensive status of new/additional/dormant members per client
• Analysis of member activity based on customer attributes such as age, gender, residence, and commercial district
• Analysis of customer sales activity by region and branch, including average spending per customer
• Analysis of target marketing effectiveness and related sales activities based on customer characteristics
• Analysis of the effectiveness of regular and irregular events, among others.
• Development of a Retail Tech SaaS system
• Establishment of a data warehouse using AWS Redshift, RDS, S3
• Development of an ETL data pipeline system using AWS Glue and Java
• Development of a membership analysis portal implemented in Java
• Development of dashboards and self-service analysis BI functionalities using Tableau