What's in Your Guide
In this Blueprint Guide, we’ve featured two financial services institutions that have made the move to the Snowflake Data Cloud. We’re going to outline how (and why!) to get started down the path of data estate modernization in the Snowflake Data Cloud and show how to get started with an architecture audit and review, define use cases, and identify key stakeholders. We’ll dive deep into the essential components of a modern data management stack, built on Snowflake, and address some common concerns of banks and credit unions that are adopting new technologies.
We’ve chosen Snowflake as the core technology in this Guide, and the reason is simple. Embarking on cloud data estate modernization can be a huge undertaking, requiring stakeholder buy-in from your C-Suite to your engineering team. The effort of moving data to Snowflake is rewarded by unrivaled efficiency and security – and once your data is in the Snowflake Data Cloud, it never has to leave. With Snowflake at the center of your data architecture, you can bring applications to your data that enrich and activate it. You can create a hub for applications while maintaining one version of the truth. Best of all, you can own your data while driving business outcomes, and create a scalable framework that is built for YOUR business.
