Data & Analytics for AI Readiness
The Data Foundation AI Actually Depends On
Microsoft Fabric, governed pipelines, and analytics that turn scattered data into an AI-ready foundation.
The Challenge
AI initiatives stall on data. The information is scattered across systems, ungoverned, and inconsistent, and no model can deliver value on a foundation like that. Data and analytics readiness is the unglamorous work that determines whether AI succeeds.
What We Do
Data estate assessment and architecture
Microsoft Fabric implementation
Data pipeline, lakehouse, and warehouse design
Data governance and quality framework
Analytics and reporting that make data decision-ready
Deliverables
Data estate assessment
Fabric architecture and implementation plan
Governance and quality framework
Analytics and reporting layer
Who It Is For
Organizations whose AI plans are blocked by data problems
Companies standardizing on Microsoft Fabric
Firms with scattered, ungoverned, inconsistent data
Why BB2
Microsoft-native AI practice spanning Copilot, Copilot Studio, Azure AI, and the AMBERD private LLM platform
Vendor-open approach: BB2 recommends the right platform across Microsoft, AWS, and Google, not a single stack
50+ AWS and Microsoft engineers, 50+ Microsoft certifications
US-based delivery with government cloud capability for regulated and public-sector clients
Assessment-led, followed by project-based implementation. Pairs with AIORA and Copilot Readiness, and with AIDRA when the goal is a governed Microsoft Fabric foundation.