- Using SafetyCulture
- Analytics
- What is Analytics?
What is Analytics?
Gain an overview of the Analytics feature in SafetyCulture.
The article outlines the functionality of the new Analytics experience, which is currently only available to select customers.
What is Analytics?
The Analytics feature allows you to view and analyze the inspection, action, and issue data your team captures across SafetyCulture. You can build customizable reports, enabling you to make sense of your data to identify improvement opportunities and isolate trends.
With Analytics, you can create customized reports to effectively share relevant data across your organization. Within those reports, you can tailor the charts shown to help your team cut through the noise and quickly gain an understanding of key data sets.
Data visualization options
Reports
Once a report is created and shared, it becomes available on the Analytics page. Reports contain multiple charts, which can be used to focus on a particular area of interest.
Charts
Analytics charts can be configured to ensure that only relevant data is shared with your audience. There are multiple data visualization options available to allow you to convey your organization's data in the most suitable way.
Metrics
A metric is the measurement or calculation of data that's selected for a chart, such as inspection durations or the number of actions.
Metric | Description |
|---|---|
Actions (Count) | The number of actions created in the chosen period. |
Inspections (Count) | The number of inspections created in the chosen period. |
Average duration | The average (arithmetic mean) duration of inspections conducted in the chosen period, denoted in hours and minutes. Inspections without a recorded duration are excluded. |
Average score | The average (arithmetic mean) score of inspections conducted in the chosen period, as a percentage. Inspections without a recorded score are excluded. |
Flagged responses | The number of flagged responses from inspections conducted in the chosen period. |
Issues (Count) | The number of issues created in the chosen period. |
Attributes
An attribute is an element by which you can break down your metric to gain more insights. Attributes, such as the inspection's date, can be selected to group metrics in different ways.
Attribute | Description |
|---|---|
Site | The site linked to the inspection, action, or issue. |
Area | The area linked to the inspection, action, or issue. |
Region | The region linked to the inspection, action, or issue. |
State | The state linked to the inspection, action, or issue. |
Country | The country linked to the inspection, action, or issue. |
Date created | The creation date of the action or issue. |
Date conducted | The date the inspection was started. |
Category | The category of the issue. |
Priority | The priority of the action or issue. |
Status | The completion status of the inspection, action, or issue. |
Template | The template used to conduct the inspections. |
Last editor | The user who last edited the inspection. |
Owner | The owner of the inspection, typically the user who initially started it. |
Filters
A filter allows you to dive deeper into specific topics by limiting which data sets are shown. For example, the date filter can be used to focus on data from a specific date range.
Chart filters
Filter | Description |
|---|---|
Category | The category of the issue. |
Priority | The priority of the action or issue. |
Status | The completion status of the inspection, action, or issue. |
Template | The template used to conduct the inspections. |
Report filters
Filter | Description |
|---|---|
Date filter | The date range to include data in. |
Priority | The priority of the action or issue. |
Site | The site linked to the inspection, action, or issue. |
Share your reports
Once you've configured your analytics report to suit your use case, you can selectively share your reports with groups or give everyone within your organization visibility. Simply click Share while viewing your report and select the relevant groups.
Was this page helpful?
Thank you for letting us know.