Collect & Store
Direct connection and live data streaming from a range of data sources including Historians (IP21, PI, Wonderware, eDNA,…), LIMS, MES, ERP, RDBMS, IoT sensors, PLC, DCS, connectivity platforms.
DATAmaestro Lake acts as a high-performing centralized historian for ETL.
Store and merge data from multiple data sources via DATAmaestro Collectors or direct upload. Visualize and explore data, trends, statistics. Easily prepare and sample data for Advanced Analytics.
Analyze & Predict
DATAmaestro Analytics offers to industries a comprehensive environment for machine learning. Clean, visualize and explore data using histograms, scatter plots, trends, box plots, clustering and more.
Transform data to compute comprehensive KPIs. Then model and diagnose plant performance using machine learning algorithms tailored for industry including Decision Trees, Random Forests, Artificial Neural Networks, Clustering,... DATAmaestro Analytics also includes highly-specialized AI methods for asset health monitoring and plant optimization.
Monitor & Optimize
Dashboarding widgets provide easy-to-interpret visualization tools for real-time monitoring of process performance and asset health.
Thanks to the combined DATAmaestro layered web services, calculate real-time analytics and AI models to monitor, detect and correct performance drifts. DATAmaestro Dashboards offer continuous decision support and recommendation tools to help optimize performance. Dashboards can be easily designed depending on end-user requirements to offer real-time decision support for operators, daily reports for engineers, monthly reports for management and more.
Layered web services for efficient deployment and integration
DM Collector painless connectivity with existing data sources.
DM Lake high-performance data storage for high-speed ETL and data preparation.
DM Analytics data exploration and machine learning algorithms tailored to industry.
DM Dashboard widgets to monitor real-time data, outputs of analytics and AI models.
Flexible deployment infrastructure
On cloud DATAmaestro can be provisioned with various suppliers such as AWS, Azure, Hetzner, etc.
On-premise If required, DATAmaestro can be installed on an appliance supplied and managed by the client, or on a DM Pack, a small Advanced Analytics appliance to host DATAmaestro supplied and managed by PEPITe.
Create value from Data
- Easy-to-use collaborative web-based analytics platform
- Enables self-service cloud analytics, no coding required
- Extensive set of machine learning algorithms fitting industry
- Interfaces collecting existing data (Historians, PLC, DCS, SCADA, IoT)
- Data streaming automatically updates analytics workflow
- Feature engineering with thermophysical properties library
- Web API allows easy integration with other applications
- Instantaneous deployments of models in web based dashboards
- Available on cloud or on-premise