Case Study: Data Ingestion from SimCorp Dimension to Snowflake Using IDX

Background

• Client: A Bank utilizing SimCorp Dimension with a massive 48 TB database.
• Challenge: Efficiently migrating data from SimCorp Dimension to Snowflake while ensuring reduced data size and faster restore times.

Solution: IDX NoCode Platform

• Platform: IDX, a NoCode solution developed by Graz (www.graz.se ).
• Data Ingestion Process:Data Extraction: IDX extracts data from SimCorp Dimension.Transformation: IDX simplifies and structures the data, making it more accessible.Loading into Snowflake: IDX seamlessly loads the transformed data into Snowflake.

Benefits:

1. Reduced Data Size:
2. Faster Restore Times:
3. Improved Data Accessibility:
4. Business Agility:

ROI and Business Value:

• Cost Savings: Reduced storage costs due to smaller data size.
• Efficiency Gains: Faster restore times minimize downtime, enhancing productivity.
• Data-Driven Insights: Improved data accessibility leads to better decision-making.
• Competitive Advantage: Business agility and scalability position the company for growth.

Conclusion

By leveraging IDX, the client successfully migrated data from SimCorp Dimension to Snowflake, experiencing reduced data size, faster restore times, and improved data accessibility. The NoCode approach simplified the process, enhancing overall efficiency and delivering substantial ROI.