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Streamlining Data Ingestion with Automation & Security: Coforge Powers Analytics Excellence for Largest Financial Services Firm in US

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Overview.

A leading US-based financial services firm encountered challenges in efficiently ingesting and transforming data from various RDBMS sources. Manual processes, inconsistencies, and performance bottlenecks hindered their data-driven initiatives. The firm sought a robust solution to automate data ingestion, enhance security, and improve data quality.

Challenges.

  • Manual and error-prone data ingestion processes
  • Data inconsistencies and quality issues
  • Performance bottlenecks affecting data availability
  • Security concerns related to sensitive data handling

Solution.

Coforge implemented a comprehensive data ingestion and transformation framework to address these challenges. Leveraging AWS, Snowflake, Protegrity, and PySpark, the solution focused on:

  • Automating data ingestion and transformation from RDBMS sources
  • Ensuring data privacy through anonymization
  • Maintaining a consistent data catalog
  • Optimizing data processing performance
  • Strengthening data security and compliance

The impact.

Reduction in data ingestion and transformation time 70%
Improvement in data privacy and security Significant
Data catalog accuracy 100%
Increase in data processing speed 50%

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Let’s Coforge your next success story.

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