Speed

Size

Color

Complexity

Brightness

Wobble

Optimal Conditions

The HALO is applicable in a variety of scenarios,  but provides a critical solution when:

• Visualizing multiple parameters simultaneously

• There is a high-stress situation with critical outcomes, and where the entity’s status can change rapidly

• There is a tight interdependency of multiple dynamic data-streams, where the interdependency itself is something the viewer needs to understand

Key Benefits

• Maps correlations and reveals emergent properties amongst factors

• Increases speed and level of comprehension of interdependent data

• Allows for comparison and differentiation between many discrete groupings (multiple Halos)

After a brief period of familiarization, you will be able to understand and compare vast data sets at the glance of an eye.

ORA is currently developing HALOs that represent patient health status, backend data security, and stock fluctuations. But the list of potential use cases are endless - anywhere users need to monitor and interpret massive quantities of complex data in realtime.