Years of AggreGate evolution brought numerous analytical tools to the scene. Domain-specific data mining languages, object and process modeling engine, statistical process control instruments, visually designed multi-threaded workflows, topology and graph analysis tools, machine learning modules -- all these are instruments that bring business intelligence atop of “classical” IoT bricks.
The majority of data mining and slicing operations in AggreGate are visual. Spreadsheet-like formulas and SQL-like queries are probably the most complicated things system analysts should type on their keyboards. However, scripting and even programmatic extension of the platform is here, too.
Seamless unified storage and management of value trends and historical events in the server database. Statistical process control module for storing values with chronologically receding precision.
Object and process models employing sets of business rules for making automatic control decisions upon important events.
Visually designed flow-based actions that combine server-side logic with operator interactions.