Deloitte’s Migration Factory offering powered by Snowflake’s platform

With Deloitte and Snowflake, you are guided through a streamlined, reliable journey to a modernized data platform. Our automation-led approach helps mitigate risk and accelerates delivery across three phrases:

Migration strategy and planning

Process and planning drive the effort, and we begin by assessing current-state capabilities and limitations to design the target-state architecture, establish the business case, and detail the migration road map. By using a tool-driven approach to conduct bottom-up analysis to capture hard data points critical in planning (with far greater visibility into the existing architecture than is traditionally possible), we are better able to mitigate risk in the migration.

Rehost, enhance, and optimize

With a clear plan, priorities, and understanding of your data, we take an automation-first approach for implementing your migration road map. Here, we set up baseline cloud environment, migrate legacy workloads, conduct integration testing, and sunset the legacy system. We also refactor application design to become cloud-native, supporting new use cases and capabilities while executing parallel runs between the legacy and new platforms, certifying the data with reconciliation testing.

Data and analytics ops

Thriving on the new platform, you are positioned to seize new efficiencies as you scale platform usage only when needed to support modernized processes and applications. We deliver support after go-live to address issues that arise and work with you going forward to provide end-to-end data life cycle monitoring, processing, and operational support. In this, we help you focus on continuous innovation and improvement, seeking opportunities to optimize your platform for cost and performance.

An end-to-end solution

Deloitte and Snowflake as an end-to-end solution for cloud migration enables targeted business outcomes while maximizing efficiency, minimizing risk, and delivering on your timeline.

Maximize efficiency, minimize risk

Achieve expedited and efficient migration to realize the greatest agility, cost reduction, and expectations of your business case.

Overcome complexity

Transform with confidence as we bring the knowledge and tools to make sense of the data, familiarity with technology platforms, and the technical mastery to deliver targeted results.

Transformation for scale

Modernize processes and applications to dynamically scale platform usage as needed, and do so in a way that optimizes your use-to-cost ratio.

Realize the business case

Our Migration Factory offering is an automation-first approach that expedites your transformation, and the project can pay for itself by replacing expensive ecosystems.

Ready for a future with AI

Trusted data is the foundation for AI and machine learning, and with reduced costs for running and maintaining the data platform, you can reallocate spending to invest in emerging capabilities.

Deliver value with edge computing

Companies are increasingly integrating artificial intelligence (AI) and machine learning (ML) into edge use cases, unlocking the potential for enhanced data security/privacy/trust, improved latency, and expanded bandwidth.

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Five essential factors in migrating to the data cloud

Why Deloitte and Snowflake?

Proven Experience

As a leader in the Gartner 2020 Magic Quadrant for Data and Analytics and as a Snowflake Elite Services Partner, we have demonstrated our capabilities, comprehensive approach, accelerators, and successful track record of delivering analytic and cognitive modernization projects.

Limit disruption

Our approach is crafted to help ensure a seamless journey, aiming to minimize disruptions at every step through engaging users from the outset and optimizing efficiency while minimizing risk.

Tailored Approaches

From the strategy and planning stage through data ops, we bring market leading automation across each of the implementation phases to successfully deliver client engagements.

Cloud and Machine Learning – Deloitte On Cloud Blog

The cloud drives data modernization, or is it vice-versa?

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The edge of cloud

A DISCUSSION WITH MAHADEV SATYANARAYANAN, THE CARNEGIE GROUP UNIVERSITY PROFESSOR OF COMPUTER SCIENCE

Access a streamlined, reliable journey to a modernized data platform

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Talent by the numbers

200+

Trained practitioners

150+

SnowPro-certified practitioners

75,000+

Consulting professionals aligned to technology transformation projects in the U.S. marketplace