Industrial big data analytics
Smart RDM is a platform that not only collects and organizes industrial data, but also provides a complete environment for its scalable data processing processing, analysis, and practical business use.
All your operational data. One picture.
By integrating data from multiple sources – IT and OT, data warehouses, ERP, and others – it is possible to create scalable analytical processes that support organizations in making more accurate decisions and optimizing processes in near real time.
Smart RDM analytics module – a layer that turns data into models, results, and concrete actions
AI/ML analyses and models
Smart RDM supports both engineers and data science teams by offering tools for building predictive and prescriptive models.
ETL flow automation
The ability to create, schedule, and execute ETL processes tailored to the internal needs of the organization.
Algorithm lifecycle management
Full lifecycle support – from design and launch to monitoring and auditing of algorithms.
Key capabilities of Smart RDM – advanced industrial big data analytics
Integration of multiple data sources
Full connection of OT and business systems in a single environment.
Scalable processing
Support for large volumes of data in batch and streaming mode, in the cloud or on-premise.
Algorithms and ETL processes
Parameterization and execution of algorithms tailored to data and business tasks.
Scheduling and triggers
Automatic execution of analyses on a cyclical basis or in response to events.
Execution monitoring
Full control over data flows, quick identification of errors and bottlenecks.
Parallelism and scalability in the cloud
Simultaneous execution of multiple algorithms in isolated environments.
AI/ML models
Failure prediction, anomaly detection, energy and production optimization, quality control.
Platform openness
Ability to add your own algorithms, analyses, and tools.
Shared work environment
All users benefit from the same structured data.
Security and availability
Permission management, full auditability, automatic resource scaling.
Results in reports and dashboards
Results available in Smart RDM, BI (Power BI, Tableau), and lightweight formats (PDF, JPG, CSV).
From data to business value
Shorter response times, lower operating costs, ESG compliance.
Examples of applications in data analytics
Smart RDM provides a complete set of tools for advanced data analytics – from acquiring and harmonizing multi-source data, through processing and parameterized algorithms, to running AI models and publishing results. This enables organizations to move from raw data to operational knowledge in a fast, repeatable, and business-process-compliant manner. An integrated computing environment, schedules and triggers, auditing capabilities, and the ability to work on a shared data repository make Smart RDM the foundation for modern analytics and decision automation scenarios.
Examples of applications:
Predictive Maintenance
Predicting failures and planning maintenance based on data and AI models.
Energy optimization / energy efficiency
Reduction of energy costs based on real-time analysis.
Quality control
Analysis of deviations and detection of anomalies in production processes.
Sustainable development and ESG reporting
Automatic generation of environmental, energy, and emission indicators in accordance with regulatory requirements.
Smart RDM in practice, i.e., in production
The platform has been designed with Industry X.0 and green transformation in mind. It supports, among other things,
ETL and Big Data pipelines
Standardization and automation of data collection and processing.
Anomaly detection
Rapid detection of deviations and irregularities in processes.
Predictive Maintenance and Quality Control
Increasing maintenance staff efficiency and improving production quality.
Advanced maintenance methodologies
Support in optimizing production continuity.
Your data. Your advantage.
Smart RDM gives organizations the ability to fully leverage the potential of data – from simple reports and forecasts to intelligent algorithms that support strategic decisions. It is a tool that turns data into a real competitive advantage.