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FAST for Data Led Migration

Organizations across the globe agree on the mission-critical nature of leveraging their data to deliver unique insights and drive innovation. Most large organizations find their data storage siloed, not fully documented, hard to access, and limited by complex tooling and infrastructure. By using SMS's FAST for Data Led Migration program, customers can move their data to the cloud using AWS funding to ease the migration. SMX uses AWS Data Lakes, Cloud Scalability, Cost-Effective Storage, and Analytics powered by machine learning, to help organizations quickly unlock insights from their various data sources using the power of modern cloud services and working towards a proper data architecture approach and leverage cloud managed services.
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About

Digital transformation is necessary in today's world. The amount of data available can be overwhelming, but if analyzed and used correctly, data can be the key to drive actionable intelligence, rapid decision-making, and successful business outcomes. Digitally driven organizations can streamline operations at a much quicker pace by changing operating models, business processes, democratizing the workforce, instilling sustained workforce agility, and empowering staff to adapt and thrive in rapidly changing environments.

FAST for Data Led Migration takes a similar enterprise view of an organization and its relation to data management. The purpose of this accelerator is to help organizations understand their data needs, how information is siloed and the related data security requirements. The key outputs of the program are to develop a proper data lake architecture and roadmap, a data security and compliance strategy, and feasibility technical demo and a prioritized product backlog.

Key Deliverables:

Data Lake Architecture

Designed to give the current state vs. future state and outline a path for development

Technical Feasibility Demo

Will combines a couple data sources into a front end to prove out capabilities

Security & Compliance Strategy

Defines proper security guard rails and incorporates best practices for security teams to create repeatable and auditable security as code

Data Lake Roadmap and Vision

Outlines the plan for delivering self-service and data governance and ingesting new data sources

Product Backlog and Release Plan

Details out user stories for sprints when developing the data lake

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