Offer: Data Estate Assessment

3 Weeks | Gain a complete and informed understanding of your modern data estate.

Offer: Data Estate Assessment

This workstream is a three-week assessment designed to gain a complete and informed understanding of your modern data estate. Over the course of the engagement, our data science experts will identify your current state, define the future state, and determine the best path forward for your organization. As part of the discovery and analysis, we will perform a data architecture assessment, application architecture assessment, and network and foundation assessment. Our expert Data Estate Assessment services will provide you with a detailed document outlining a full modern data estate implementation and recommendations pertaining to production and development/test systems — including architecture, metadata-driven design, governance, best practices, and CI/CD/DevOps.

Approach

  • Data Architecture Assessment — We review your current data ecosystem including operational systems, existing data warehouse systems, existing document file storage, and any reporting layer and then work with you to collect requirements for data and analytics needs (data mastering needs, aligned with the target architecture including ideal data flows, catalogue of source systems, and their relative complexities)
  • Application Architecture Assessment — We work with you to understand the current application binary object storage, provide knowledge transfer on how to adjust the platform to leverage object storage in a data lake, and highlight other Azure components that can improve your organization, such as CI/CD, containerization, and other PaaS services
  • Network and Foundations Assessment — We perform a readiness assessment (and proposal) for an Azure Secure Landing Zone and subscription layout suitable for your modern data estate

Deliverables

  • Plan to establish an Azure Secure Landing Zone for the modern data estate, including network connectivity
  • Recommendations on common MDE patterns, learnings, and leading practices
  • Recommendations to address mastering common data elements and entities (MDM)
  • Proposed design components for the future state data architecture, including architecture diagram and delineated connection points for application stack
  • Description of capabilities, prioritized components, and sunsetting plan for existing tools/platforms
  • Training plan to enable client team to support the recommended future environment
  • Azure cost estimates and sizing recommendations based on provided data growth rate
  • Roadmap, timeline, and estimated cost to realize recommendations

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