Smart RDM and Microsoft

Use cloud capabilities provided by Microsoft to boost data-driven digital transformation of your processes

Interaction with users

Streamline interaction with users by gathering all necessary information for report and analysis creation through user-friendly forms directly integrated into the designated domain system or data warehouse. Incorporate plans, forecasts, and data from contractors to complement production data, creating a robust and dependable analytical resource.


Use the Azure Power BI platform to craft reports, offering users the flexibility to interact with data through features such as filtering, drilling down or up, combining reports, and subscribing to their preferred content. Ensure each report is appropriately distributed within the organization, and enable users to subscribe to them. For those who prefer working with Excel, data export options and API access are also available.

Data democratization

Architect your Azure setup strategically, ensuring technology serves as an enabler for providing high-quality data to all business departments. This approach empowers them to initiate diverse initiatives aimed at enhancing organizational efficiency. Leverage various storage architectures like Azure SQL, Azure Synapse Analytics, and Azure Data Lake Storage to accommodate both unstructured and structured data from the OT space. Maintain contextual accuracy while also enabling experimentation and integration of non-structured data for process analytics and training machine learning models.

Big Data

Explore the remarkable scalability of the cloud, where the infrastructure can seamlessly adjust to the most processing-intensive tasks and scale down when not needed. This not only leads to cost savings on data processing power but also enables the integration of Big Data analytics into your processes with minimal IT infrastructure CAPEX. Implement Azure Kubernetes Service to automate and orchestrate your computing architecture.

Open AI

Harness the potential of artificial intelligence to facilitate knowledge management within the organization, model production processes, and conduct advanced analytics. Establish efficient, scalable, and secure data exchange mechanisms for seamlessly connecting the OT world with the cloud. Optimize the utilization of Azure tools for advanced analytics.


By adopting a hybrid infrastructure approach, where OT systems operate within isolated data centers with limited communication, while data lakes and analyses reside in the Azure cloud, you can retain the benefits of low-risk management at the critical infrastructure level while harnessing the capabilities of the Cloud. Ensure that communication from OT networks is effectively streamlined and controlled through Azure security mechanisms to maintain the currency and security of every element. Utilize Azure Active Directory in conjunction with on-premise Active Directory to maintain full flexibility in permission management for both internal and external stakeholders.