Data Science for Customer Retention, a Pragma Success Story

Financial Scalable data architecture for Puntos Colombia

We defined a scalable data architecture based on the Serverless Data Lake Framework (SDLF) to centralize the information of more than 18 billion transactions of its partners for business decision-making.

• We developed the data ingestion from 5 information systems to the Data Lake.
  
  
• We used AWS Database migration service, Redshift and Lambda tools.
  
  
• SDLF evolved from version 1 to version 1.4.

• We designed a robust data solution architecture that addressed data centralization, processing, and analysis requirements. This involved strategically choosing components and services that ensure efficient and scalable data flow.

• Data processing  went from 8 hours to  30 min
• Segmentation models went from   1 to 10