Kasmo Enables Seamless Snowflake Data Cloud Migration for a Leading Manufacturer

About the Client 

The client is a leading manufacturing company with manufacturing facilities in 5 countries across the globe.

The Business Challenge 

The client was grappling with multiple database sources across several plants including SQL Server, Oracle, RDS, Redshift and Postgres. This resulted in data silos that consequently led to inefficient reporting quality. They also possessed over a decade worth of historical data on legacy systems, which they were unable to integrate into the existing system and slower incremental syncs caused delays in reporting. As a result, the company failed to utilize historical data for accurate performance analysis and measuring overall business outcomes.

Kasmo’s Approach to Snowflake Migration 

Kasmo’s team of Snowflake Data Cloud Experts brought multiple data sources together into a single source of truth facilitating flat structure for reporting. Our solution encapsulated a low-code platform that features full and incremental loading, scalable pipelines, and secure data transfer. We also provided the client with an efficient metadata framework which enables flexibility for any modifications in the future.


The Solution Architecture 



Results Achieved 

Kasmo, a Snowflake Select Partner, helped the client navigate the challenges faced through a seamless migration to the Snowflake Data Cloud. Our comprehensive solution in Snowflake implementation and migration helped the client achieve–

Single Source of TruthSnowflake data cloud migration helped the client to bring the data from all the sources into a single platform. The streamlined data migration process resulted in a 40% improvement in reporting speed, enabling quicker insights and decision-making.

Improved Productivity: one single source of truth, eliminating discrepancies and ensuring data consistency across all reporting channels.

20% Reduction in Cost – The solution implemented by Kasmo helped the client reduce costs by 20% through effective data management.

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