Fabric Data Foundations Jumpstart

Organizations pursuing AI initiatives often struggle with fragmented data estates, inconsistent governance, limited data quality visibility, and complex integration challenges. Without a governed, AI-ready data foundation, organizations face delayed analytics initiatives, reduced trust in business insights, and slower AI adoption.

Perficient's Fabric Data Foundations Jumpstart is a six-to-eight-week consulting engagement designed to assess Microsoft Fabric readiness, establish governed data foundations, and build the first AI-ready data products needed to accelerate analytics, reporting, and AI initiatives. The engagement combines readiness assessment, architecture design, governance implementation, and data engineering to deliver a scalable foundation for Microsoft Fabric and future AI solutions.

What the Engagement Delivers

During the engagement, Perficient helps organizations:

• Assess current-state data platforms, integrations, and governance maturity
• Evaluate Microsoft Fabric readiness and identify gaps impacting analytics and AI initiatives
• Design a Fabric-native Medallion Architecture (Bronze, Silver, Gold)
• Configure Microsoft Fabric lakehouse and OneLake environments
• Implement data ingestion, transformation, and quality pipelines
• Establish governance processes using Microsoft Purview, data cataloging, and lineage capabilities
• Build semantic models and certified Power BI datasets
• Validate AI and Copilot readiness across priority business domains
• Create a prioritized roadmap for future analytics, Copilot, and AI investments

Key Deliverables

• Data Readiness Assessment and Scorecard
• Fabric-Native Medallion Architecture Blueprint
• Configured OneLake and Lakehouse Environment
• Automated Data Pipelines for Priority Domains
• Semantic Model and Certified Power BI Dataset
• Microsoft Purview Governance Configuration
• Data Product Governance Framework
• AI and Copilot Enablement Roadmap
• Governance Operating Model and RACI Matrix
• Executive Readout and Recommendations

Typical Outcomes

By the end of the engagement, organizations gain:

• Improved visibility into data quality, governance, and readiness gaps
• A governed Microsoft Fabric architecture aligned to business objectives
• Foundational data products ready to support analytics and AI workloads
• Enhanced governance through cataloging, lineage, stewardship, and quality controls
• Faster time-to-value for future AI, Copilot, and analytics initiatives
• A prioritized roadmap for scaling Microsoft Fabric across the enterprise
• Reduced risk associated with ungoverned data and AI programs

Ideal Customers

This engagement is designed for organizations that:

• Are evaluating or adopting Microsoft Fabric
• Need stronger governance and visibility across enterprise data assets
• Are modernizing legacy analytics or data platforms
• Are preparing for Microsoft Copilot or AI initiatives
• Want to establish trusted, AI-ready data products and reporting foundations
• Need a scalable architecture to support future analytics and AI growth