/cdx → Azure, Microsoft Fabric → security-governance-and-compliance
Security, Governance & Compliance
Part of the scenario: Unify your Data Platform
This demo showcases how Zava built a secure and governed data estate using Microsoft Purview and Microsoft Fabric. Data is cataloged and organized into governance domains and data products to enable enterprise-wide discovery, lineage, and metadata management. Purview’s data quality, glossary, and governance reports help monitor data health and maintain compliance across the organization. Security is enforced through Data Loss Prevention policies, sensitivity labels, and fine-grained access controls such as Row-Level, Column-Level, and Object-Level Security in Fabric. Additionally. Runs in a live demo tenant with realistic data — you try the real thing, not a slide deck.
More demos in this story
6 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.
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.
Data Science + AI Workflow
Fabric Data Science Agent transforms Zava’s raw customer and operational data into predictive, AI-driven insights by automating the "explore-model-predict-act" cycle. It eliminates manual complexity by leveraging Copilot-powered notebooks, unified Lakehouse data, and MLflow for end-to-end model lifecycle management. By combining scalable Spark processing with AI-assisted code generation and advanced models like LightGBM, it enables rapid churn prediction, customer segmentation, and personalized recommendations—empowering teams to proactively improve retention, optimize revenue strategies.
Fabric IQ – Ontology
FabricIQ - Ontology serves as the digital semantic layer for Zava, unifying its entire enterprise vocabulary across diverse data sources like SQL, SAP, and Snowflake into a machine-understandable graph. By abstracting underlying technical complexity into core business entities—such as Store, Thermostat, and Inventory—it establishes a shared language that allows both human analysts and AI agents to perform cross-domain reasoning.