Objective

A US-based financial services firm wanted to create an end-to-end real-time system for credit portfolio assessment.

Challenges
 

• 200,000 business rules creating difficulties in monitoring, changing and enriching data pipelines.
  
• Poor data quality limiting trust in data.
• Challenges handling non-English languages in underlying data.
  
  

Approach
 

• Sourced over 250k reports and processed 2Bn+ fields of data.
  
• Performed data enrichment, validation and quality assurance.
  
• Designed, created and maintained databases to store the data.
  

Impact
 

• Credit analysts were able to focus on core analytical activities.
  
• Standardized and optimized processes.
  
• Achieved a 99.99% data accuracy threshold.
  
• Reduced time for data sourcing, extraction and integration.
  

Questions

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