oh22
Otto-Hahn-Str. 22,
Bad Camberg, 65520,
Germany
Bad Camberg, 65520,
Germany
49 6434 2091-0
Professional Services
oh22
List of Software Implementations where oh22 is Reseller or System Integrator
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.
oh22 is a Reseller or SI for the following software solutions:
| Reseller and SI | Vendor | Application | Category | Market |
|---|---|---|---|---|
| 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 |
List of Software Implementations where oh22 is a Reseller or SI
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight |
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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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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 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 Data Lake Storage | Cloud Storage | 2020 |
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Manufacturing | 29207 | $4.1B | Austria | Microsoft | Microsoft Power BI | Analytics and BI | 2020 |
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IT Decision Makers and Key Stakeholders at oh22
| First Name | Last Name | Title | Function | Department | Phone | |
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Buyer Intent: Companies Evaluating oh22 Services
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating oh22 software implementations. Gain ongoing access to real-time prospects and uncover hidden opportunities.
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
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oh22 System Integrator / VAR Profile
oh22 is a system integrator and technology consulting firm headquartered in Bad Camberg, Germany, with approximately 50 employees and annual revenues of $4M.
oh22 implements and supports enterprise applications across markets such as Analytics and BI, PaaS and IaaS.
APPS RUN THE WORLD tracks 5 verified oh22 software implementations across industries and regions, including: RHI Magnesita where oh22 implemented Microsoft Azure Synapse Analytics, RHI Magnesita where oh22 implemented Microsoft Azure Data Factory, and RHI Magnesita where oh22 implemented Microsoft Azure Stream Analytics.
oh22 has a strategic VAR/SI partnership with Microsoft, backed by verified deployments.
Independent Software Vendors (ISVs) can boost their ecosystem by identifying existing oh22 partnerships, building strong channel relationships, and forging strategic implementation alliances to expand customer reach and accelerate adoption.
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