SNS Operations Analytics Platform
A data analytics platform that collects and analyzes massive amounts of web reviews and social media data, visualizing corporate "favorability assets."
Challenge
Web reviews, social media, and website information were fragmented, making integrated analysis of industry challenges difficult.
Solution
Built an MLOps platform using Vertex AI. Automated data collection from Google Maps and portal sites, vectorized and analyzed reviews using Gemini and Vector Search. Achieved scoring and visualization as a "favorability asset."
Result
Enabled quantitative understanding of hidden trends and customer sentiment through weekly automated report generation. Contributed to faster decision-making and service improvement.
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
Automated workflows for data collection, preprocessing, and inference via Vertex AI Pipelines
Discovery of "semantically similar complaints" and "hidden trends" through vector search
Multi-axis scoring of "favorability assets (trust, affection, functionality, innovation)" using Gemini
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
Combined Gemini and vector search to quantify unstructured review data into a proprietary "favorability asset" metric. Introduced advanced analytics approaches including Shapley value contribution analysis.