In addition to providing integrated management of vast amounts of data generated in and out of the company by building a big data platform at Seoul Transportation Corporation, it also generated various types of data analysis reports to enable data-based policy establishment and decision-making.
Challenges
Need to manage internal big data
Need integrated and systematic management of vast amounts of data created and accumulated on-premises
Solutions
Building a Data Governance-Based Big Data Analysis Platform
Support for a variety of analytics algorithms
Support for analytics application development environments
Analyze the big data environment and establish strategies for discovery and deployment of analysis tasks
Building a Big Data Pilot Task
Benefits
Building a Flexible Big Data Platform
Create a flexible big data platform that integrates data collection, storage, analysis, and visualization for systematically managing a variety of internal and external data
Can scale to future data governance frameworks
Accurate and rapid collection of external web information
Unstructured data collection through SNS APIs such as Twitter and Facebook
Support for a variety of
Enable reliable systems management
Natural language processing engine
Natural language processing engine enables content and user query analysis within the target site
Building an Automatic Classification System for Complaints Using AI-Based Machine Learning
Reduce administrative power through automatic classification of civil petitions
Generate reports in different formats
Create a variety of reports to match the data format and easily communicate the key content you want to deliver to users to help you make decisions