Assess current state architecture, collect data, and define scope for a detailed data platform discovery and assessment and an understanding of the target landscape

Execute the cut-over plan with a well-defined parallel run, performance monitoring and auditing by leveraging a clear and well-defined operational rule book

Design and strategize infrastructure, data architecture, and pipeline after a readiness assessment and team data collection for a finalized, failproof migration

Post-migration support
Support the modernized analytic workloads post-migration by monitoring and reviewing ticket queues to provide resolution, train IT support teams and business users on the modern platform, update run books and perform hand-over to the IT team for long-term support and sign-off

Automate data and metadata migration, validate data integrity along with integration and automation of validation steps, optimize workloads to meet SLAs and manage cloud costs, orchestrate with external application integration to deploy workloads in production in a hybrid multi-cloud setting