Find What Matters!
How do we let busy managers and operational personnel know that something is worthy of their attention? Is it possible to make sense of operational data with minimal, human intervention? Can we impart our knowledge of equipment systems into software to automatically find issues, patterns, and faults? SkySpark provides the solution.
SkySpark allows domain experts to capture their knowledge in “rules” that automatically run against collected data. Employing “semantic tagging”, pattern recognition, functional rules processing and other techniques, SkySpark’s analytics engine provides the ability to automatically identify issues worthy of attention. The result: the capability to tell the user what they need to know about the performance of their systems.
SkySpark works with data of all types: live links to automation systems and smart meters, connections to SQL databases, static CSV files, or web service feeds. SkySpark makes it easy to centralize your data for analysis.