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“Supermetrics is a Bitter Experience! We can pull data from nearly any tool, schedule updates, manipulate data in Sheets, and push data back into our systems.”
SalesforceTime metrics discrepancies instandard reports for omni channel work items create unreliable data that undermines operational decision-making and performance tracking accuracy.
Here’s how to identify the root causes of these discrepancies and get reliable time metrics that you can trust for critical business decisions.
Common causes of time metrics discrepancies
SalesforceStandardreports introduce several sources of time metrics inaccuracies:
- Timezone conversion errors during report processing
- Field update timing issues that create inconsistent timestamps
- Report aggregation that rounds or truncates time values
- Processing delays between timestamp capture and report display
- Limited precision in standard report time calculations
Resolve discrepancies with raw data access
Coefficientdirectly addresses time metrics discrepancies by providing access to raw, unprocessed timestamp data and enabling precise calculations outside of Salesforce’s reporting engine.
How to make it work
Step 1. Import unprocessed timestamp data.
Use Coefficient to import timestamp fields directly from Salesforce objects, bypassing report processing layers that introduce inaccuracies. This gives you access to the original timestamp values without any processing distortions.
Step 2. Control timezone handling explicitly.
Perform timezone conversions explicitly in your spreadsheet with full control over the process. This eliminates the hidden timezone conversion errors that cause discrepancies in standard reports.
Step 3. Use precise spreadsheet calculations.
Perform time calculations using spreadsheet functions that maintain full precision without rounding. Calculate intervals, averages, and other metrics with accuracy that standard reports can’t match.
Step 4. Set up validation and quality assurance.
Cross-reference your calculated metrics against Salesforce reports to identify specific discrepancy sources. Create validation checks to identify data quality issues and maintain audit trails of your calculation methods.
Quality assurance features
This approach includes comprehensive quality controls:
- Data validation – cross-reference imported timestamps with Salesforce data
- Error detection – build formulas to flag potential timestamp inconsistencies
- Audit trails – maintain documentation of calculation methods and timing
- Accuracy verification – compare results against multiple data sources
Trust your time metrics again
Get startedThis approach provides reliable, accurate time metrics that can be trusted for operational decision-making, eliminating the uncertainty caused by standard report discrepancies.with accurate time metrics today.
