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How to Fix Power BI Timesheet Data Not Matching Timesheet Lines
Question details
The user needs to investigate and resolve discrepancies where timesheet data queried in Power BI does not match the actual hours displayed in the source timesheet records.
- Product
- Microsoft Power BI
- Device & OS
- not provided
- Scenario
- Generating reports or dashboards based on timesheet hours for specific users, dates, or projects.
- Observed behavior
- The hours and data displayed in the Power BI dashboard queries differ from the original timesheet lines recorded in the source system.
Before troubleshooting, confirm that your Power BI dataset has recently completed a successful refresh cycle and identify the specific user, project, and dates where the hours do not align.
Verify Dataset Refresh Status and Query Filters
Data discrepancies are frequently caused by outdated datasets or Power Query filters that unintentionally exclude specific timesheet lines.
Power BI relies on scheduled refreshes and specific query parameters to pull data. If a refresh fails or a filter is too restrictive, recent timesheet entries will be missing from your reports.
Navigate to your Power BI workspace, locate the timesheet dataset, and check the 'Next refresh' and 'Last refresh' timestamps to ensure your data is current.
Open Power BI Desktop, click on 'Transform Data', and review the 'Applied Steps' on the right panel. Ensure no filtering steps are accidentally dropping rows for specific dates, users, or unapproved timesheet lines.
Switch to the Model view and confirm that the relationships between your timesheet facts table and user/date dimension tables are active and use the correct cardinality.
Contact Microsoft Power BI Support
If the query logic is perfectly accurate but data remains mismatched, the issue likely resides within the Power BI backend or the specific data connector, requiring official Microsoft intervention.
Manage and Analyze Exported Data Seamlessly with WPS Office
While resolving complex Power BI backend queries requires dedicated Microsoft support, everyday timesheet analysis and data verification can be handled effortlessly with WPS Spreadsheet. It provides a familiar, lightweight environment to analyze raw timesheet exports without the overhead of database troubleshooting.
- 1. Export raw timesheet data: Export your raw timesheet lines directly from Microsoft Project or your tracking system as a .csv or .xlsx file.
- 2. Open with WPS Spreadsheet: Launch WPS Office and open the exported timesheet file to view the untouched raw data.
- 3. Analyze totals manually: Use the 'Insert' tab to create a PivotTable, grouping the hours by user and date to quickly compare totals against your Power BI dashboard.
Frequently Asked Questions
Why does my Power BI dashboard show fewer timesheet hours than Microsoft Project?
This usually happens because of a delay in the dataset's refresh schedule, a filter in Power Query excluding certain dates, or because Power BI is only pulling approved timesheet entries while Project shows both draft and approved hours.
Can unapproved timesheets cause data discrepancies in Power BI?
Yes. Depending on how your data connector or SQL view is configured, Power BI may intentionally filter out draft or pending timesheet records, resulting in lower total hours compared to the source system.
How often does Power BI refresh timesheet data?
The refresh rate depends on your workspace license and configuration. Power BI Pro allows up to 8 daily scheduled refreshes, while Premium allows up to 48. If the scheduled refresh hasn't triggered yet, your dashboard will not reflect recent timesheet updates.
What information should I prepare before contacting Power BI support?
You should prepare the exact M or DAX queries being used, screenshots of the source timesheet system alongside the Power BI discrepancy, the affected dates, and specific user or project identifiers.
