Case Study

Data warehouse process optimization

Objective

Simplify the labour-intensive data ingestion process to increase the accuracy and efficiency.

Approach

  • Analyse data sources, data feeds, data types and frequencies from multiple source applications and third-party systems
  • Build the data extraction and validation process by stages
  • Integrate the process flow and validation process 
  • Enable process logs and audit logs to capture and report the process status

Outcome

  • Increased the process efficiency and brought considerable savings in resource utilization and process time
  • Improved the quality of data by profiling, cleansing and standardising it
  • Increased the capability to process high volume data

Client Benefits

  • Increased process efficiencies and ease of maintenance, all while reducing costs 
  • Fully automated the data ingestion process from data acquisition to reporting and dashboard generation using cutting-edge technologies
  • Ensured compliance to polices and best practices with regards to data

Data Management