Bad Camberg, 65520,
Germany
oh22
oh22, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. oh22 collaboration with software players such as Microsoft empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
| Reseller and SI | Vendor | Application | Category | Market |
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| oh22 | Microsoft | Microsoft Azure Data Factory | Extract, Transform, and Load (ETL) | PaaS |
| oh22 | Microsoft | Microsoft Azure Data Lake Storage | Cloud Storage | IaaS |
| oh22 | Microsoft | Microsoft Azure Stream Analytics | Analytics and BI | Analytics and BI |
| oh22 | Microsoft | Microsoft Azure Synapse Analytics | Data Warehouse | Analytics and BI |
| oh22 | Microsoft | Microsoft Power BI | Analytics and BI | Analytics and BI |
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight | Insight Source |
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RHI Magnesita | Manufacturing | 29207 | $4.1B | Austria | Microsoft | Microsoft Azure Data Factory | Extract, Transform, and Load (ETL) | 2020 | In 2020, RHI Magnesita implemented Microsoft Azure Data Factory as a core Extract, Transform, and Load (ETL) capability while rebuilding its IT infrastructure on Microsoft Azure, creating a centralized analytics platform underpinned by Azure Synapse Analytics and Azure Data Lake. This program formed the backbone for a cloud-based modern data warehouse approach that the company used to enable new data-driven services for customers. The deployment centered on Microsoft Azure Data Factory pipelines feeding Azure Synapse Analytics and Azure Data Lake storage, enabling both Spark and SQL engine workloads for batch and near real time processing. RHI Magnesita configured nearly 1,000 dynamically generated data pipelines in Azure Data Factory to orchestrate ingestion, transformation, and delivery workflows, and used Power BI to democratize analytics access across the organization. Microsoft Azure Data Factory is positioned as the ETL orchestration layer tying data ingestion from operational sources into the modern data warehouse and downstream analytics services. Integrations were explicitly built to bring together data from Microsoft Dynamics 365 and SAP landscapes and to ingest IoT telemetry from industrial equipment, providing a single platform for front and back end workloads. The implementation was executed in partnership with oh22, which collaborated on architecture, migration strategy, and platform design to scale analytics and cost control. The platform supports development of customer facing software as a service offerings and data exchange scenarios across the companys global footprint and customer base. Governance and organizational change accompanied the technical rollout, with focused reskilling and Microsoft training for data engineers and BI teams to adopt new cloud native patterns and operating principles. The program shifted IT workstreams from traditional stability and budgeting activities toward a venture style approach that emphasizes minimum viable products and iterative delivery across analytics and software teams. Explicit outcomes reported include a substantial pipeline count and faster project delivery, with projects that can be implemented up to 10 times faster, and a reduction in an SAP costing run from roughly 12 hours to about five minutes through scalable Synapse processing. The platform positioned RHI Magnesita to monetize internal and external data streams, with an ambition to generate €100 million from digital products by 2025. | |
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RHI Magnesita | Manufacturing | 29207 | $4.1B | Austria | Microsoft | Microsoft Azure Data Lake Storage | Cloud Storage | 2020 | In 2020 RHI Magnesita implemented Microsoft Azure Data Lake Storage as a central component of a broader rebuild of its IT infrastructure on Azure, positioning Microsoft Azure Data Lake Storage within a Cloud Storage architecture to support customer-facing predictive analytics and industrial IoT services. The initiative was explicitly targeted at enabling continuous monitoring and predictive replacement of refractory products, supporting a shift to provide Software-as-a-Service for customers to monitor production and supply chain processes. The implementation configured Microsoft Azure Data Lake Storage as the primary low cost object store for raw and curated telemetry and business data, alongside Azure Synapse Analytics and Azure Data Factory for orchestration, processing and analytical workloads. Functional capabilities implemented included large scale data ingestion pipelines, schema-on-read storage, Spark and SQL processing engines for analytics, and democratized reporting through Power BI, enabling data engineers and analysts to manage workloads and build reusable analytics components. Integrations were executed with Azure Synapse Analytics and Azure Data Factory as the orchestration and analytics layer, and data from Microsoft Dynamics 365 was connected into automated processes and reporting. The Microsoft partner oh22 guided architecture design and implementation, and the deployment covered data and BI teams, data engineers, analysts, and customer-facing product teams working to deliver services to several thousand customers globally. Governance and operating model changes included investing in training and reskilling through Microsoft, adopting new patterns for cloud data warehousing and modular analytics development, and shifting internal workflows toward a minimum viable product approach to support rapid software delivery. oh22 supported creation of a platform that centralized data access and established common analytics tooling and processes for reuse across the organization. Measured outcomes stated by the company included nearly 1,000 dynamically generated data pipelines running through Azure Data Factory and Azure Synapse, the ability to implement data projects up to 10 times faster, and a reduction of a typical SAP costing run from about 12 hours to approximately five minutes. The platform also underpins RHI Magnesita’s stated commercial objective to generate €100 million from digital products by 2025. | |
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RHI Magnesita | Manufacturing | 29207 | $4.1B | Austria | Microsoft | Microsoft Azure Stream Analytics | Analytics and BI | 2020 | In 2020, RHI Magnesita implemented Microsoft Azure Stream Analytics within a broader Azure-based rebuild of its IT infrastructure to enable real-time monitoring and predictive analytics for refractory products, aligning the company with Analytics and BI use cases for industrial IoT and customer-facing SaaS. The deployment targeted the centralization of streaming ingestion and analytics to support continuous condition monitoring across production sites and to underpin new digital services sold to several thousand customers worldwide. The implementation configured Microsoft Azure Stream Analytics to handle event stream processing and real-time rule evaluation while feeding canonical datasets into a modern data warehouse stack built on Azure Synapse Analytics, Azure Data Factory and Azure Data Lake, enabling both Spark and SQL processing. Functional capabilities implemented included streaming ingestion, event windowing and aggregation, near real-time alerting, and the handoff of enriched streams to analytics pipelines and Power BI for visualization, with Microsoft Dynamics 365 data present in automated processes and reports. oh22 acted as the implementation partner guiding architecture and platform design, helping shape nearly 1,000 dynamically generated data pipelines running through Azure Data Factory and Synapse to accelerate delivery of data-driven applications. Operational coverage emphasized cross-functional support for data engineering, BI and customer digital services teams, with the platform intended to support supply chain, production monitoring and customer service use cases rather than a single departmental silo. Governance and capability changes accompanied the technical work, including reskilling through Microsoft training, adoption of new data warehouse principles, and a shift toward MVP driven delivery models to enable faster software development cycles. Outcomes noted as part of the broader Azure modernization included a tenfold acceleration in project implementation speed for data-driven projects and an ability to scale heavy workloads previously bound by long batch runs, reinforcing the role of Microsoft Azure Stream Analytics within RHI Magnesita’s Analytics and BI strategy. | |
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Manufacturing | 29207 | $4.1B | Austria | Microsoft | Microsoft Azure Synapse Analytics | Data Warehouse | 2020 |
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Manufacturing | 29207 | $4.1B | Austria | Microsoft | Microsoft Power BI | Analytics and BI | 2020 |
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