Auto Insights can help operations teams analyse injury patterns, measure the effectiveness of safety training and uncover response anomalies. You can read more here on our website.
This article will cover:
Example insights from this use case
Recommended data structure for this use case
What sort of insights can Auto Insights help me uncover?
We've outlined some example questions which Auto Insights can help answer through a combination of its proactive insights, Search, and What caused this? analysis:
Analyse injury patterns
Injuries by site location
Injuries by cause
Seasonality of injuries by cause
Injuries by staff age and staff tenure
Measure the effectiveness of safety training
Incidents before safety training
Events are safety training
Severity of incident after safety training
Outcome of incident before safety training
Uncover response anomalies
Response time to injury
Cause of response time delays by month
Response time to injury by site location
How do I structure my data?
Auto Insights requires structured, transactional data, with at least 1 measure (e.g. Number of injuries) and 5 segments (e.g. Site location). In addition, we recommend at least 7 months of data (at monthly or daily granularity) so you can take full advantage of Auto Insights' Unexpected Changes feature.
Example data structure
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Please refer to this article for more information about data structure.
Here are some of the typical segments we find in workplace safety data. A segment is a qualitative value, like names or categories:
A measure is a quantitative, numeric value. Some of the typical measures include injury events, training events, etc.
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