Shifting Data Platform to Snowflake for a Leading American Coffee & Beverage Company

The client is a leading publicly traded American conglomerate that produces and markets a wide range of coffee and other beverage products. Founded in the 1970s, the company has grown through both organic initiatives and strategic acquisitions to become one of the largest beverage manufacturers in the United States. In order to continue its ambitious growth plans through further mergers and expansion into new categories like iced tea and energy drinks, the client sought to modernize its aging on-premise data infrastructure. This would enable flexible insights across all business functions to support strategic decision making in areas like product development, marketing, and supply chain optimization. By streamlining data management on a cloud platform, the client could accelerate its transformation efforts.

The client faced several major hurdles with its existing on-premise setup. The myriad sources – SAP, Oracle, data warehouses – made consolidation difficult and slowed reporting.

• Incorporating data from a recent acquisition posed technical obstacles and delays to
• Cold drinks and coffee divisions operated independently with separate models and
• Business teams lacked self—service access to make timely, informed

Key issues thot needed addressing included:

• Consolidating diverse data types from transactional and analytical systems
• Designing a unified architecture supporting differing drink product lines
• Ensuring governance and quality across all functional domains

Addressing scalability to support continued mergers and portfolio diversification

Additional complexities involved:

• Integrating structured, semi-structured and unstructured data
• Meeting stringent governance, security and privacy requirements
• Modernizing without disrupting core finance and manufacturing processes
• Maintaining high performance for thousands of concurrent users

To achieve its transformation vision, the client required:

• A flexible cloud platform optimized for analytics and modeling needs
• Frictionless data movement and integration into a centralized model
• Sophisticated data services enabling self-sufficient analytics by business
• Highly scalable infrastructure supporting terobytes of daily transactions

Xylity would need to design on innovative solution meeting these objectives.

• Assessment: Team analyzed client’s data landscape, gathered business objectives
• Architecture Planning: Technical experts designed a scalable architecture built around
• Doto Cotologing: Common data entities, attributes from various systems
• Schema Design: Logical and physical schemas created in Snowflake for structured
• Migration Strategy: Data lift-shifted from SQL and Oracle sources to Snowflake
• Consolidation: Master data and financial figures pulled into centralized
• Doto Ingestion: Informatics Cloud set up ETL/ELT pipelines for batch and real-time
• Semantic Modeling: Additional layers built using Atscale for multitenancy and
• Security Implementation: Row-level access, SSO, encryption ensured
• Metadata Population: Completed data dictionary populated column
• Report Building:    Pre-packaged     reports     met governance and regulator
• Sandbox Environments: Testing/dev instances stood up before production
• Training Delivery: Team and clients educated on authoring/managing the
• Knowledge Transfer: Documentation empowered client self-sufficiency post-go-live.
• Support Transition: Managed services assumed 24/7 operations and maintenance.