Multi-Factories x Multi-Machines x Multi-Systemsx Multi-Data (N-sources x N-type) x Multi-Users
Customer Background
The company specializes in the research, development, manufacturing, and sales of computers and electronic products. It is a multinational enterprise with factories spread overseas.
Challenges
•Data Silos: The company’s data was scattered across various application systems and lacked a unified management system.
•Time-consuming: Data analysis tasks were project-based according to internal needs. This approach results in redundant work, and the data generated is not reusable.
•Difficult to Access: To obtain the desired data, it must be transferred from one system to another, consuming a significant amount of time for data migration.
Customer Requirements
•A comprehensive, readily available, and clean single source of truth for all the enterprise data
•Establish an ETL (Extract, Transform, Load) pipeline for future reuse of data.
•Improve query performance, integrate applications across the company’s systems, and apply machine learning to business intelligence.
Solution
Products/Services Used: Data Engineering, Tools to validate, cleanse, transform, display, and explore data in real-time, IAE (low-code, data pipeline construction for high speed data ingestion), BO (database), Data visualization & Exploration
Results
1.Reduce data migration time
2.Consolidated data sources into a unified hub
3.Made data assets always ready to use and easy to use
4.Real-time data visualization for better decision-making