IBM Consulting offering: Microsoft Fabric 6 week Assessment and MVP

Microsoft Fabric is designed to provide a modern, unified SaaS environment for organization's end to end data and analytics journey. It provides efficiencies for data access, resource availability and cost.

IBM Consulting as a leading Data and AI partner for Microsoft is ready to help organizations define a strategy, roadmap and execution for adoption of Microsoft Fabric.

Organizations can choose from the following options to engage IBM Consulting services, or a custom plan can be created to fit the needs of your enterprise.

Phase 1A: Data Strategy with MSFT Fabric

Design Thinking ( 3-5 days):

• Assess current state of the data estate.

• Review MS Fabric’s capabilities and its impact on solving business & technical challenges.

• Collaborate with business and technology teams to identify and prioritize use cases, balance ROI, performance, security and access.

• Develop a future state Fabric based architecture for selective business domains.

• Roadmap for adoption / migration of legacy data pipelines built for structured, unstructured, and real time data ingestion and consumption.

Phase 1B: IBM Garage for MSFT Fabric Build PoV / MVP

Co-Create (4-6 weeks)

• Prioritize (data factory, data engineering, data warehouse, data lake, data science, Power BI) experiences to implement.

• Establish Personas / User Journey; Establish access controls based on roles/personas

• Optimize data pipelines and the medallion architecture (bronze, silver, gold) for the one lake

• Develop an optimal privacy, security, governance architecture (data masking, profiling, access, lineage, provenance)

• Understand regulatory scenarios: Data Observability scenarios aligned with regulations. Data Sovereignty and residency

• Analyze and implement cost optimized data acquisition and ingestion patterns leveraging One Lake shortcuts in the MS Fabric platform.

• Execute and test E2E dataflows.

Phase 2: Scale Data Estate with MSFT Fabric

Co-Operate (ongoing):

• Operationalize Fabric alongside existing enterprise data platforms

• Execute data strategy and the roadmap

• Develop and implement a migration strategy for moving existing Azure and/or legacy data platforms to MS Fabric

• Scale Fabric to additional business domains as a modern data analytics platform

• Measure/evaluate the cost and process efficiencies