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.
Collect your data
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.
Store your data
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 your data
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.
Visualize your data
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.