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WebEOC Add-On: WeatherOptics JX Connector (4:45)
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Short Post-Course Survey
WebEOC Add-On: WeatherOptics JX Connector (Free Course)
WeatherOptics JX Connector
During this session, a Juvare Subject Matter Expert will present an On-Demand Review of the WeatherOptics JX Connector. This session will include an Overview, Key Features and a Demonstration
WeatherOptics JX Connector Overview
The WeatherOptics JX Connector is an integration for WebEOC that works with a location-based board, such as the Facilities Board, to offer predictive weather modeling. Essentially, it analyzes historical weather, geospatial, and business data and processes it with machine learning to predict the impact of current weather events on your locations. With automatic 24/7/365 monitoring of your facilities in WebEOC, you can use board notifications to automatically notify stakeholders when the risk threshold is elevated for your facilities or locations.
Key Features
- JX Connector Integration - WeatherOptics integrates with WebEOC
- Weather Modeling - Predicting the impact of severe weather at a highly localized level.
- Geospatial Data - Analysis of geospatial data, such as topography, floodplain, population density, soil and tree canopy coverage, etc. in relation to weather modeling.
- Business Data - Analysis of emergency management, vehicle crash, power outage, business transactions, and other interactions in relation to weather modeling.
Compatibility
Versions [9.0 and later]
- Core: [Available to Add]
- Professional: [Available to Add]
- Enterprise: [Available to Add]
Installation Requirements/Instructions
This is a Licensed Add-On that can be purchased upon implementation or purchased through your Client Success Manager.
Learning Outcomes
By the end of this On-Demand session, learners will be able to:
- Monitor and predict impacts due to severe weather
- Understand and locate the different weather impact status
- Understand and locate the different WeatherOptics Insights
- Understand and locate the different indexes used to measure risk, disruption, and danger
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