Anna 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 Anna help me uncover?
We've outlined some example questions which Anna can help answer through a combination of her 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?
- Anna 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 Anna's 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:
- Employee attributes:
- Injury attributes:
- Other attributes:
A measure is a quantitative, numeric value. Some of the typical measures include injury events, training events, etc.
If you have any questions, please contact us at firstname.lastname@example.org.