1. Choose A Data Source
You are collecting live time series data from systems and processes that reveals important conditions. Using Falkonry Integrators for OSIsoft PI System, Splunk, and others, connect your data source to Falkonry.
2. Falkonry Discovers Patterns
Falkonry separates the data into unique patterns in your data and presents them as color bands. It looks for time trends, multivariate correlations across signals, and more. Falkonry automatically presents patterns for labeling, just like photo management software.
3. You Name the Behaviors
To teach Falkonry what behaviors matter to you and what you call them, just give a name to pattern occurrences identified by Falkonry – you can easily change the extent of the segment if you’d like. It works just like tagging someone in their picture.
4. Falkonry Monitors the Live Operation
Using your examples, Falkonry reports behaviors that matter to you on live operational data. Through the same connectors, fresh data continues to flow to Falkonry and it instantaneously recognizes and predicts behaviors seen in the data. If new patterns occur, Falkonry identifies them as new patterns.
5. Repeat and Improve
As more data arrives, you can repeat any of the previous steps and that itself fine tunes the results to your desired level. Falkonry helps you learn what is going on just as you help Falkonry learn what you want from it.