ACCESSIBILITY AND MULTIPLATFORM
Smart RDM: Real-time process optimization
Structure, manage and analyze vast amounts of data from multiple sources in a single platform. Automate the distribution of insights within the organization to facilitate data-driven decision-making.
Algorithm management
Create and manage the lifecycle of algorithms such as analyses or ETL processes, define and parametrize inputs and choose appropriate algorithms for particular tasks or reports. Create event-triggered algorithms.
Algorithm scheduling
Schedule algorithms to execute at planned date and time or between specific time intervals or define triggers such as events that initiate algorithms executions. All that to make sure information you need is delivered with desired quality just on time.
Algorithm execution
Execute algorithms with predefined parameters or parameters provided by real-time data streams like machine-data or business systems’ data. Always run the algorithms in the data context you need for particular task.
Execution monitoring
Use built-in advanced execution monitoring capabilities to know when the data is processed, identify issues in your ETL data pipelines before the stakeholders recognize them.
Parallelization
Make use of unlimited scalability of ETL and algorithms execution and enable users to execute multiple algorithms simultaneously in separate environments. Process large amount of data and make use of the power of cloud.
Security and availability
Restrict access to algorithms and their results (data) to authorized users only. For 100% execution availability in critical use cases, benefit from built-in autoscaling – a process that monitors resource usage and dynamically adds further resources when needed.
SUCCESS IN ACTION
Powering progress: Our
Software in Practice
Real-world efficiency transformation
ETL processes
Automate and standardize data extraction, transformation, and loading (ETL) processes, allowing organizations to consolidate data from various sources into a single, unified view. Unlike traditional ETL tools, connect critical infrastructure in real-time and OT in secure, industry-standard manner.
Big data analytics
Integrate data lakes and big data repositories to conduct advanced analytics. Handle substantial amounts of data from diverse sources, pinpoint patterns and trends to enhance your operations and gain a competitive edge in the market.
Report generation
Define and generate custom reports, dashboards, and visualizations, allowing organizations to analyze and share data in a meaningful way.
Anomaly detection
Combine computational power, machine learning models, historical data, and your digital twin to achieve advanced anomaly detection in your production. These anomalies can be further analyzed and utilized across various aspects to enhance your operational efficiency.
Predictive maintenance
Predict equipment failure or underperformance by analyzing historical data and identifying correlations between them. Schedule maintenance before failures occur, reduce downtime and maintenance costs.
Quality control
Supervise the quality of your production lines through diligent monitoring and performance analysis. Elevate these efforts by integrating predictive algorithms or machine learning models rooted in image analysis techniques.
Advanced Maintenance Methodologies
Combine real-time monitoring, Digital Twin, and advanced analytics to leverage sophisticated methodologies such as Risk-Based Maintenance (RBM) or Reliability-Centered Maintenance (RCM).
Explore Smart RDM’s capabilities through a demo now.