How can I verify the accuracy of reports and analytics data?
Accurate reporting depends on reliable source data, consistent metric definitions, and correct interpretation.
Even when operational information is recorded successfully, a report may be misleading if the underlying measurements are incomplete or misunderstood.
Businesses should therefore verify important findings before using them to make consequential decisions.
Step 1: Identify the source of the information
Determine which Polyosync module or external business system produced the data.
For example, an automation execution record and a customer payment record represent different types of information.
Step 2: Understand the metric definition
Before interpreting a number, establish what it measures.
An execution count may represent attempted runs rather than completed business outcomes.
A conversation count does not necessarily represent unique customers.
A successful technical execution does not necessarily indicate customer satisfaction.
Step 3: Check the reporting period
Verify that the information relates to the intended date range.
Comparisons between different periods should account for differences in duration and operating conditions.
Step 4: Review individual records
When possible, compare summarized information with representative execution records.
This can help identify whether the reported results are consistent with the underlying activity.
Step 5: Identify incomplete information
Some activities may not contain every field required for a particular analysis.
Missing information should not automatically be interpreted as zero.
Step 6: Check for duplicate records
Determine whether repeated events represent distinct activities or multiple records associated with the same operation.
Avoid counting the same business outcome more than once.
Step 7: Separate technical results from business outcomes
A workflow can complete successfully without producing the intended commercial or operational result.
Verify the business outcome separately when necessary.
Step 8: Distinguish estimates from verified measurements
Estimated time savings, influenced revenue, and projected financial benefits should be clearly distinguished from confirmed results.
Step 9: Consider external dependencies
Some business outcomes depend on information stored outside Polyosync.
Where integrations or external systems are involved, verify that the relevant information is accurate and current.
Step 10: Investigate discrepancies
If information appears inconsistent, identify the relevant module, reporting period, and affected records.
Compare the available data before drawing conclusions.
What if I believe a report is incorrect?
Collect the relevant non-sensitive information, including the report or metric involved, the expected value, the observed value, and supporting execution records.
Contact Polyosync Support if the discrepancy cannot be explained.
Why does this matter?
Reports are only useful when users understand what the underlying data represents.
Reliable analysis requires both accurate records and careful interpretation.