Data governance

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.

BeamyProfessional Services

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.

Transport for NSWPublic Sector

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.

InformaticaTech & Comms

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.

InformaticaTech & Comms

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.

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.

GrundfosManufacturing

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.

Regal RexnordManufacturing

Fivetran, a global leader in data movement, expanded its integration with Microsoft Fabric and OneLake, now offering over 700 pre-built connectors. This allows organizations to automatically ingest, transform, and govern data from hundreds of sources into a single, AI-ready data lake environment. The Managed Data Lake Service provides interoperability with open table formats such as Apache Iceberg or Delta Lake, reducing engineering overhead and ensuring reliable real-time data access. Security and compliance are enhanced for sensitive workloads within the Microsoft Fabric ecosystem. The integration optimizes data pipeline costs and eliminates complex engineering tasks, modernizing data infrastructure for analytics and AI. Hitachi Solutions and Interloop, among others, leverage this integration to consolidate diverse data sources and unlock new business insights. Enterprise customers like Pfizer, OpenAI, LVMH, Verizon, and Spotify use Fivetran solutions to power analytics, AI, and strategic decision-making.

PfizerTech & Comms

Damm Group, a prominent Spanish brewing company in the hospitality sector, confronted inefficiencies in their hospitality establishment data due to duplicate records and manual data review. To resolve this, Damm partnered with NTT DATA to create an AI agent solution leveraging Azure AI Foundry and Azure Agent Services, integrated with geolocation tools.This solution employs autonomous AI agents to identify and resolve duplicate records, perform contextual data analysis, and generate transparent, automated reports for end users. The architecture allows AI agents to operate independently, gather external contextual information, and make data-driven decisions with minimal human intervention.Results have been significant: decision accuracy reached 97%, reasoning accuracy hit 92%, and the solution reduced time spent on database improvements by 60–70%, amounting to an annual savings of 6,000–7,000 work hours. Damm plans to expand the use of this solution across its Spanish operations for continual process optimization.The project showcases the power of autonomous AI agents in operational data management, especially within the hospitality industry, demonstrating real-world scalable impact and substantial efficiency gains.

Damm GroupConsumer & Food

IG Group created an Extended Medallion Architecture on Google Cloud that allows domain teams to build and manage their own gold zone data projects separately from central governance zones.The architecture leverages BigQuery's serverless analytics, Cloud Storage, Knowledge Catalog, and Apache Airflow to improve agility without compromising security and data quality.Domain projects read from centrally governed silver and gold zones and perform domain-specific transformations, enabling independent analytics while maintaining enterprise data standards.Dataplex integrates metadata management, governance, search, and lineage visibility across the platform.This solution accelerates time-to-insight, improves analytics performance, enhances data security through project-level isolation, and provides clear cost accountability per domain.

IG GroupFinance