SNS Operations Analytics Platform
A data analytics platform for regularly collecting reviews and social data, then surfacing trends and improvement themes by location or service.
Challenge
Reviews, social posts, and website data were scattered, making regular monitoring and improvement planning time-consuming.
Solution
Built a scheduled analytics workflow with Vertex AI Pipelines for data collection, preprocessing, analysis, and reporting. Vectorized reviews so repeated complaints and positive patterns could be grouped and tracked.
Result
Weekly reports made it easier to compare locations and services, then prioritize improvement themes.
Team
1 member, 2 months
Platform building & analytics model creation
Role
Analytics platform building & data analysis
Handled PoC on Vertex AI Workbench, production migration to Pipelines, scraping, and analytics logic implementation.
Tech Stack
Key Features
Stable data collection from Google Maps and portal sites using ScrapingBee
Workflow orchestration for data collection, preprocessing, and analysis via Vertex AI Pipelines
Grouping of similar reviews and recurring complaints through vector search
Multi-axis review scoring across trust, affection, functionality, and novelty
Technical Highlights
Continuous Improvement with MLOps
Adopted Vertex AI Pipelines to automate the entire process from data collection to analysis and reporting, rather than one-off analysis. Built an environment for weekly model improvement cycles.
Quantifying Qualitative Data
Structured free-form reviews into scores and similar groups, making them easier to compare over time.