CSS (Common Securitization Solutions) built and operates the largest and most advanced mortgage securitization platform in the world, supporting the Uniform Mortgage-Backed Security (UMBS) of Fannie Mae and Freddie Mac.

In today’s turbulent economy, having access to real-time data and insights are an imperative for all the business units at CSS. To address this challenge, CSS reimagined the modernization of its data lake house to realize the full potential of the cloud. CSS built its “Data Powerhouse” on Snowflake using Qlik Data Integration, Snowpark, Data Marketplace and Data Clean Room.

Using the decentralized model of data mesh, the business units can now independently hydrate and transform data as needed with an ability to seamlessly integrate across all business units.

In this session, you’ll learn how CSS has architected its Data Powerhouse to deliver any form of data at any speed, any scale, to any consuming user community in a secure and governed manner.

Join us to learn How Qlik and Snowflake can help manufacturers make their global supply chains more flexible, capable, and sustainable.

Business processes, such as order-to-cash, are critical to organizations, particularly for the retail and manufacturing enterprises. And SAP contains valuable data related to the process such as sales orders, distribution, and financial data. But it can be a challenge to access and integrate data in SAP systems with data from other sources to get a full view of the end-to-end process. Adding in organizational silos and data fragmentation makes it even more difficult to integrate SAP data with modern analytics projects.

Join us to learn how Snowflake and Qlik are helping businesses fully leverage all their enterprise data to lower IT costs, streamline supply chains, and deliver real-time prescriptive insights that improve productivity.