/cdx → Azure, Microsoft Fabric → unified-data-foundation-with-onelake
Unified Data Foundation with OneLake
Part of the scenario: Unify your Data Platform
Fabric OneLake Foundation Agent transforms Zava’s siloed and duplicated data landscape into a unified, lake-centric data backbone by automating the "ingest-unify-transform-access" cycle. It eliminates data movement and redundancy by leveraging shortcuts, mirroring, and OneLake’s single-copy architecture, enabling seamless access to data across multiple sources in real time. By combining AI-powered transformations, lineage visibility, and multi-source querying, it empowers teams to work on a single source of truth—accelerating analytics, improving data quality, and enabling faster. Runs in a live demo tenant with realistic data — you try the real thing, not a slide deck.
More from Azure, Microsoft Fabric
3 related360° Customer Insights
Fabric Customer Intelligence Agent transforms Zava’s fragmented customer data into a unified, 360° insight engine by automating the "unify-segment-analyze-act" cycle. It eliminates blind spots by combining multi-source data into a single customer view using zero-copy architecture and advanced segmentation models. By integrating Fabric Data Agent with Copilot Studio, it enables natural language access to deep customer insights.
AI Agents for Smarter Operations
Fabric AI Operations Agent transforms Zava’s reactive operations into an intelligent, autonomous decision engine by orchestrating the "observe-analyze-decide-act" cycle across multiple AI agents. It eliminates operational inefficiencies by unifying data access through the Fabric Data Agent and enabling natural language-driven insights via Copilot. By coordinating specialized agents (Sales, Product, and Analyst) through Azure AI Foundry, it delivers real-time recommendations—such as inventory reallocation and promotion planning—empowering business users to proactively optimize operations.
Business Analysis with Power BI + Copilot
Fabric Copilot Analytics Agent transforms Zava’s fragmented data landscape into a unified, insight-driven decision engine by automating the "ingest-analyze-visualize-act" cycle. It eliminates data silos by leveraging a lake-centric architecture with Direct Lake mode, enabling real-time, high-performance analytics without duplication. By combining Power BI Copilot and Smart Narratives, it accelerates insight generation, identifies churn drivers, and empowers business users to take proactive actions that improve customer experience and operational performance.