Use case type
Data governance solutions define, monitor, and enforce standards for data quality, access, lineage, and compliance. They address the need for trusted data that can be used safely across analytics and AI initiatives.
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14
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11 mo
Adoption over time
By case publish month · completed months only
12 cases documented across 26 months (Jun 24 – Jul 26), peaking at 2 in May 2025.
Each column counts every documented case of this type by its publish month, across the full corpus. The in-progress current month is excluded from columns and surfaced separately, and cases published before the charted window are summarized as earlier cases instead of plotted.
Company examples
10 shown from 14 use cases
Swire Properties, a Hong Kong and Mainland China regional real estate company, used Alibaba Cloud data and security services to address data silos across business units and shopping centers.The company centralized data governance, improved security controls, and accelerated ETL and visualization across sources.
Beamy developed an AI-driven business transformation platform that captures how people, technologies, and processes interact across an organization.The platform uses a browser extension to observe real-time employee activity, turns interactions into structured logs, and reconciles event sequences to reconstruct business processes.Beamy uses Vertex AI to deploy and operate models at scale, with BigQuery for storage and analysis, Cloud Run for application services, and Looker for client dashboards.The solution is deployed with major groups including Veolia to provide visibility into application usage, shadow IT, and where transformation investments will have the greatest impact.
Transport for NSW (TfNSW), Australia’s largest public transportation agency, modernized its analytics environment to support over 2 million passengers per day across rail, metro, light rail, ferry, bus, and road services.The agency replaced a legacy third-party ETL platform that managed 400+ ingestion workflows and had become costly to operate, complex to scale, and dependent on specialized expertise.The modernization created a more resilient, scalable data ecosystem for mobility analytics and planning across New South Wales.
Informatica, a Salesforce subsidiary, has expanded its collaboration with Microsoft to build trusted, unified data foundations for scalable AI and customer experience (CX) initiatives amid fragmented data environments and inconsistent governance.They introduced native support for Open Mirroring in Microsoft Fabric and a new Azure point of delivery (POD) in Switzerland, enabling synchronization of data between Fabric OneLake and Fabric Data Warehouse with minimal setup.Governance, data quality, privacy, and master data management capabilities are integrated into the Fabric environment to ensure consistent standards across pipelines and analytics layers.The expansion addresses data sovereignty regulations in Europe and enhances multi-cloud interoperability for enterprises.
Cummins automated data classification and sensitivity labeling with Microsoft Purview Information Protection to enforce data sensitivity levels and protections.It deployed Microsoft Purview Data Lifecycle Management to enforce customized file lifecycles and prepare clean, secure data for Microsoft 365 Copilot adoption.The program reduced outdated files, supported compliance, and improved collaboration on sensitive data.
Informatica, a leader in AI-powered cloud data management, collaborated with Microsoft to integrate their Intelligent Data Management Cloud (IDMC) and CLAIRE AI engine with Microsoft Foundry to accelerate enterprise AI.The solution includes new GenAI recipes and agentic blueprints for Microsoft Foundry, enabling secure, governed AI agent development and deployment across industries.This integration uses Model Context Protocol (MCP) for real-time trusted data access and enhances data governance with Microsoft OneLake and Apache Iceberg support.
Microsoft introduced major enhancements to its Microsoft Fabric data platform, aiming to unify data and accelerate AI readiness for organizations. The unified data foundation—Fabric with OneLake, Graph, and Maps—helps teams integrate and contextualize data from across the enterprise. Graph and Maps allow for advanced modeling of business relationships and geospatial analytics. Enhanced developer tools simplify building and automating AI applications and agents. Integration with Azure AI Foundry lets teams create, manage, and monitor AI apps at scale, using familiar tools like Visual Studio and GitHub. Security and governance controls ensure compliance for mission-critical use cases. The platform is positioned to support AI agent development across functions like supply chain, decision-making, and customer operations. Microsoft’s continuous innovation is focused on enabling organizations to lead in the AI transformation by building context-rich, governed data architectures suited for advanced AI workflows.Fabric’s Graph feature lets businesses visualize connections and dependencies—such as supply chain links or customer journeys—while Maps powers location-based analytics for real-time operational intelligence. OneLake enables data ingestion, transformation, and sharing, so AI and analytics apps can leverage all enterprise data securely. The improved developer experiences include extensibility toolkits for automation, code generation inside IDEs, and seamless integration with security and monitoring capabilities. By tightly integrating the data and AI stacks, Microsoft Fabric makes deployment of intelligent agents and AI-powered decisions more streamlined for the enterprise. Certifications and upskilling are also prioritized, with tens of thousands of Fabric and Foundry certifications delivered to date.
KPMG has launched a GenAI data management solution and related AI Agent Hub experience to help customers deploy and manage AI agents for enterprise data management and business processes.The solution is hosted on OCI and uses Oracle AI Agent Studio for Fusion Applications to create custom agents and agent templates, with native integration to Oracle Fusion Applications and orchestration across the enterprise.KPMG says the approach can reduce time and resources for data integration, provide natural language access to transactional data, and accelerate deployment of enterprise-ready agents for customer needs.
Grundfos, a leading Danish pump manufacturer, undertook a digital transformation initiative to better harness the value of its extensive and hybrid data sources. With growing volumes of data from IoT sensors, SaaS platforms, and on-premises systems, employees struggled with data discovery and manual cataloging, resulting in inefficiencies and compliance risks. By collaborating with Microsoft, Grundfos implemented an integrated data governance and analytics solution leveraging Azure Purview, Azure Synapse Analytics, and Power BI. Automated data scanning, classification, and cataloging replaced manual processes, facilitating easy, secure access for a range of stakeholders and improving productivity. The system also streamlined GDPR compliance, reduced manual workload, and enabled data-driven decision-making throughout the organization, ultimately supporting Grundfos’s mission to innovate sustainable water solutions.
Regal Rexnord, a customer-oriented business, faced challenges in achieving trusted data management and accelerating AI-driven analytics across its operations. By leveraging the collaboration between Informatica and Microsoft, the company streamlined native data quality applications, master data management, and AI copilots built on advanced Microsoft technologies. The integration allowed unified access to data from over 300 enterprise sources, rapid onboarding of high-quality data, and adoption of analytics and AI initiatives without data silos. Key innovations include Informatica’s Data Quality Native Application and MDM Extensions for Microsoft Fabric, as well as the CLAIRE Copilot AI assistant that uses Azure OpenAI Service for enhanced productivity. The improvements have significantly decreased the time for data onboarding, improved analytical trustworthiness, and fostered faster, smarter business decisions at scale, driving measurable impact for Regal Rexnord.
Common questions
