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The Hours & cost summary report is one of the reports available as part of Deputy Analytics+.
- How can this report help my organization?
- What can I use this report for?
- What is in the Hours & cost summary report?
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FAQs on using this report
How can this report help my organization?
Use this report to track worked hours and labor costs across locations, areas and team members for accurate payroll and cost control.
What can I use this report for?
- Are the hours and labor costs recorded here consistent with what's in my payroll system?
- Which locations, areas, or teams are trending higher or lower in labor spend?
- Where are labor costs increasing, and what might be driving this change?
- How do the hours and costs compare across different parts of the business?
What is in the Hours & cost summary report?
Filters
The table in this report will be acted upon using the built-in drop-down menus to select specific:
- Date
- Location
- Location Status
- Team Member Status
In addition to the filters, you can sort the data using the Group by drop-down menu (Location, Area, Team Member, Access Level, and Employment Type).
You also have the option to Hide salary team members by ticking the checkbox.
These filter selections will only act upon this table within this report.
Table of Hours & cost summary
A table of the Hours & cost summary based on the filters applied from the section above.
The table of hours & costs contains the following data fields:
- Team Member
- Timesheet Total Time
- Timesheet Cost
To sort the Team Member field by different criteria, click the column name, then select Sort to see the available options.
FAQs on using this report
- How do I filter this report to find the information I need?
- Can I save my filtered view for next time so I don't need to set up the same filters each time I view the report?
- How do I print, export or email this report?
- Can I schedule this report to export or email regularly? (requires Analytics+)
- How do I create a report with this information but other data included? (requires Analytics+)