/cdx → Azure, Microsoft Fabric → 360-customer-insights
360° Customer Insights
Part of the scenario: Unify your Data Platform
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. Runs in a live demo tenant with realistic data — you try the real thing, not a slide deck.
More from Azure, Microsoft Fabric
3 relatedAI 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.
Consume Fabric Data Agent in Microsoft 365 Copilot
Unify Your Data Platform is a two-level demo journey designed to show how businesses can integrate and optimize their data landscape using Microsoft technologies. Level 2: Technical Demos covers scenarios such as inventory recovery, real-time analytics with Fabric + Activator, governance with Azure Databricks, and the use of AI Agents, Power BI with Copilot, and AI workflows for advanced insights. It also emphasizes security, governance, and compliance across the data estate.