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Data analysis
- Data-Driven Strategy Development: Develop and implement growth strategies based on data analysis, focusing on increasing user acquisition, retention
- Analysis of User Acquisition and Retention: Analyze various channels (media, search, CRM campaign) to acquire and retain users
- Consumer Behavior Analysis: Analyze 1st party consumer behavior data collected within the
- CRM platform to understand customer behavior patterns, preferences, pet¡¯s golden moment in the lifecycle.
- Performance Analysis: Set a goal, monitor and analyze performance metrics to identify opportunities for growth and areas for improvement.
- Data Analysis Report: Create, review and share CRM insight via regular report (Weekly / Monthly / Quarterly) to ensure all the activities are met for required KPIs


Data orchestration
- Data Integration: Combining data from different sources, involving various data types and formats, into a single, coherent data set.
- Data Quality Assurance: Implementing processes and rules to ensure that data is accurate, complete, and reliable.
- Data Delivery Management: Ensuring that processed data is distributed to the right systems or stakeholders efficiently and securely.
- Compliance and Security: Managing data in compliance with regulations and ensuring that data is secure throughout its lifecycle.


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Á÷¹«±â¼ú: CRM¸¶ÄÉÅÍ, CRM


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