Multi-Factories × Multi-Machines × Multi-Systems × Multi-Data (N-Sources × N-Type) × 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.