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 Power BI | Analytics and BI | 2020 | In 2020, RHI Magnesita implemented Microsoft Power BI as a core component of a centralized analytics platform built on Azure to expand digital services and enable customer-facing monitoring and predictive analytics. This Microsoft Power BI deployment is positioned within the companys Analytics and BI strategy and was delivered in collaboration with Microsoft partner oh22 to support a modern data warehouse approach using Azure Synapse Analytics. The implementation consolidated reporting and self-service visualization capabilities so that data analysts and nontechnical users alike could access standardized dashboards and operational reports. Microsoft Power BI was integrated into an architecture that includes Azure Data Lake for lower-cost storage, Azure Data Factory for orchestration, and Azure Synapse Analytics using both Spark and SQL engines, enabling ingestion of IoT and industrial data and nearly 1,000 dynamically generated data pipelines to flow through the platform. Operational integrations explicitly include Microsoft Dynamics 365 connected into automated processes and made available to analysts and reports via the Synapse and Power BI stack. The deployment supports development of industrial software solutions and a Software-as-a-Service proposition to several thousand customers worldwide, enabling use cases such as continuous monitoring of refractory heat levels and predictive replacement alerts. Governance and capability reshaping accompanied the technical build, with RHI Magnesita investing in reskilling through oh22 and Microsoft training and shifting team responsibilities from traditional SAP-focused stability work to MVP-driven product workstreams. Measured outcomes stated by the company include the ability to run previously 12 hour SAP costing processes in about five minutes using Synapse scale capabilities, pipeline development up to 10x faster, and an explicit commercial target 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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RHI Magnesita | Manufacturing | 29207 | $4.1B | Austria | Microsoft | Microsoft Azure Synapse Analytics | Data Warehouse | 2020 | In 2020, RHI Magnesita deployed Microsoft Azure Synapse Analytics as a centralized analytics platform to support a new Data Warehouse strategy and to enable predictive analytics for refractory product monitoring. The project was driven by a corporate shift to offer digital services and Software-as-a-Service to industrial customers, embedding analytics into product lifecycle and supply chain workflows to support monitoring, prediction and customer-facing applications. The implementation consolidated cloud-native components including Azure Data Lake for low-cost storage, Azure Data Factory for ETL orchestration, and Azure Synapse Analytics using both Spark and SQL engines for query and analytical processing. The platform configuration includes nearly 1,000 dynamically generated data pipelines running through Azure Data Factory and Azure Synapse Analytics, and integrates with reporting tooling such as Power BI to democratize analytics across business users and data teams. Integrations in the solution explicitly include Microsoft Dynamics 365 as a source for automated processes and reporting, and SAP systems for enterprise data used in costing and operational analytics. The architecture was designed to ingest large scale IoT telemetry from industrial installations, provide data engineering management on a single platform, and enable reuse of analytical components across customer-facing software models to scale SaaS offerings to several thousand customers. Implementation and delivery were executed in partnership with oh22 and included Microsoft-led training to reskill RHI Magnesita data engineers and BI staff. Governance changes accompanied the technical build with a shift from stability and forecasting projects to a venture oriented approach emphasizing MVPs, cross functional product development and new workstreams for data product management. Outcomes documented by RHI Magnesita include a dramatic acceleration of development cycles, with component implementation up to 10x faster and an example reduction in a SAP costing run from approximately 12 hours to about five minutes by leveraging scalable Synapse resources. The centralized Microsoft Azure Synapse Analytics Data Warehouse provided the foundation to commercialize data driven services, with a stated target to generate €100 million from digital products by 2025. | |
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Manufacturing | 29207 | $4.1B | Austria | Microsoft | Microsoft Azure Data Lake Storage | Cloud Storage | 2020 |
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Manufacturing | 29207 | $4.1B | Austria | Microsoft | Microsoft Azure Data Factory | Extract, Transform, and Load (ETL) | 2020 |
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