Business Challenge

Business Challenge 

  • Multiple departments accessing mainframe data across the regions.
  • Dependency on Mainframe batch for monthly/weekly reports.
  • Building a single data repository for downstream applications.

Engagements

The major insurance company wanted to build a data lake for their Mainframe master files in the cloud environment (AWS).

The Solution

Approach & Solution

  • Analyze, Map, and Build the copy books for master files (i.e. COBOL, Easytrieve, Assembler copy books).
  • Trailer splitting from master files (using python split scripts).
  • Build the processing Parameter file for the python conversion scripts.

Benefits & Outcome

  • Reduce MIPS in mainframes.
  • Availability of RAW data to all the downstream applications.
  • Easily accessible by the user for data analytics/reporting.

Cost Savings

40%

Conversion

+20%

What Our Clients Says