Effective liquidity management is crucial for financial services to maintain regulatory compliance. Deloitte's solutions, powered by Snowflake, enhance data accuracy, scalability, reduce costs, and provide real-time insights.

Deloitte and Snowflake are working together to achieve cloud modernisation and data-sharing solutions in the public sector by combining Deloitte's advanced capabilities in strategy and analytics with Snowflake's Data Cloud to streamline data management.

For organisations struggling with expensive, legacy on-premises data and analytics ecosystems, moving to a modern platform can be daunting. Deloitte’s Migration Factory can help mitigate risk in data migration while expediting the move to a future-ready platform.

As new privacy laws and regulations place more limits on how data can be collected, used stored, and shared, it’s becoming more important to establish data clean rooms, which can help organisations derive insights while keeping data safe and compliant.

Simplify complexity, unlock data-driven insights with a unified, cloud-native Data and Analytics Platform (DAP), and empower your digital transformation journey with actionable insights.

Data Mesh is an architectural framework designed to address data governance and security challenges through decentralised ownership. It empowers business functions to maintain control over data access and formats, fostering faster access to relevant data and improving business agility. Key principles include autonomy, cross-domain collaboration, scalability, adaptability, improved data quality, and compliance. Domain-driven ownership allows business functions to develop and manage data products, ensuring data governance and privacy. Self-serve data infrastructure supports analytical data product development, while federated governance balances centralisation and decentralisation. Snowflake facilitates data mesh implementation by enabling decentralised ownership, providing elastic compute, and supporting multiple programming languages. It also offers robust governance through features like data masking and lineage tracking. The Snowflake Marketplace supports data sharing within and outside the organisation, promoting data democratisation while maintaining security. Adopting a data mesh enhances scalability, flexibility, and innovation by decentralising data ownership and promoting a domain-oriented approach.

Deloitte’s Data as a Service (DaaS) for Banking streamlines data modernisation by unifying banking data sources on Snowflake. These solutions empower secure analytics, Generative AI (GenAI), and agentic capabilities, all while ensuring robust governance and protection of sensitive digital banking information.

To deploy trusted agentic AI at scale, your data management practices must be solid. The advent of agentic AI, which runs mostly autonomously, makes trust essential. Data agents can help with Deloitte and Snowflake working together to power your agentic AI ambitions.

Improved data management continues to be a top priority, even for companies that live and breathe data. Accessing the right data can be the biggest bottleneck for AI. Deloitte and Snowflake deliver the trusted data foundation you need, simplifying access to quality, governed data that’s easy to work with.