Accelerating Value Ahead of Transformation

In today's fast-paced business environment, organisations undergoing digital transformations cannot afford to wait for lengthy projects to deliver value. A data-first approach, leveraging the power of Snowflake, enables businesses to accelerate value delivery and future-proof their data infrastructure. This article explores how our use of Snowflake allowed us to deliver significant benefits ahead of a major transformation program.

The Challenge: Delivering Early Value During Transformation

Traditional transformation projects often involve lengthy implementation and associated migration processes, leaving stakeholders waiting for months or even years to realise the benefits. We recognised the need to break this cycle and deliver tangible value early in the process.

The Solution: A Data-First Approach with Snowflake

By integrating data from all legacy systems into Snowflake, we create a unified data platform that enabled future-state reporting and analytics ahead of the broader transformation. This approach provides several key outcomes:

Key Outcomes and Benefits

Future-Proofed Legacy Reporting

We seamlessly transition legacy reporting into the future state, ensuring continuity and improved performance.

Frictionless Access for Transformation Teams

Transformation teams gain immediate access to legacy production data for design, testing, and analysis, eliminating data silos and accelerating development cycles.

Seamless Parallel Run & Comparison Testing

Real-time data availability facilitates easy parallel run and comparison testing, ensuring data accuracy and consistency.

Proactive Legacy Data Archiving

Legacy data archiving was established ahead of system decommissioning, mitigating risks and ensuring compliance.

Incremental Future-State Pipeline Integration

Future-state pipelines can be incrementally integrated as new solutions come online, enabling a phased and agile transformation.

Unified Data Model

A unified data model provides a single source of truth, enabling comprehensive reporting across both legacy and future-state data, with change data capture ensuring data accuracy.

Query Service for Legacy Data

Query services eliminates the need to migrate historic data, providing seamless access from the new solution and reducing transition complexity.

Master Data Migration and Reconciliation

Master data migration and reconciliation frameworks are implemented to support data integrity.

Secure Data Sharing

Snowflake Data Share eliminates the need for redundant pipelines, enabling secure and efficient data sharing across domains.

Robust Security and Compliance

Comprehensive privacy and security assessments are undertaken, ensuring compliance and governance from day one.

Conclusion

This data-first approach, powered by Snowflake, not only accelerates the delivery of transformation benefits but also establishes a robust and scalable data foundation for long-term success. By prioritising data integration and leveraging Snowflake's capabilities, organisations can unlock immediate value and drive meaningful business outcomes.

If you’re tackling similar challenges, let’s talk! We’re always keen to discuss how data can drive value faster.

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