DATA MISMATCH
Frequently Asked Questions: Troubleshooting Guide for Daton Warehouse Integrations
DATA MISMATCH
Frequently Asked Questions: Troubleshooting Guide for Daton Warehouse Integrations
SECTION 1 — GENERAL UNDERSTANDING
Q1 |
What is a data mismatch in the context of Daton? |
A |
A data mismatch occurs when the data visible in your source platform (e.g., an advertising or seller dashboard) does not match the data that has been synced and stored in your warehouse via Daton. Common symptoms include:
|
Q2 |
What are the most common causes of a data mismatch? |
A |
Data mismatches typically arise from one or more of the following root causes:
|
Q3 |
Which types of integrations are most prone to data mismatches? | ||||
A |
Both OAuth-based connectors (e.g., Seller and Ads connectors) and API Key / Access Token-based connectors can experience mismatches, but for different reasons:
|
SECTION 2 — TROUBLESHOOTING STEPS
Q4 |
What is the first step I should take when I notice a data mismatch? |
A |
Always start by verifying the date range. Ensure you are comparing the exact same date range across all three of the following:
⚠ Note: Date range inconsistencies are the single most common reason for apparent data mismatches. Confirm this before any other troubleshooting step. |
Q5 |
How do I verify whether my integration is functioning correctly? |
A |
Navigate to your integration settings in Daton and confirm the following:
|
Q6 |
How do I confirm that the correct accounts or profiles are selected? |
A |
In your integration settings, verify that the following entities are correctly selected and match your source platform configuration:
✔ Tip: Even if one account or profile is deselected or missing, it can cause partial data gaps that look like a broader sync issue. |
Q7 |
What should I check regarding API credentials for non-OAuth connectors? |
A |
For integrations that use an API Key or Access Token, verify all of the following:
Invalid, expired, or insufficiently permissioned credentials can result in missing data, incomplete syncs, or data mismatches. |
Q8 |
How should I validate that I am comparing the right metrics between source and warehouse? |
A |
Before concluding that a sync issue exists, confirm that the following are consistent between your source platform report and your warehouse query:
⚠ Note: A mismatch may simply be due to the source report applying a filter or attribution window that is not reflected in the warehouse query. |
Q9 |
What should I do if data appears incomplete shortly after a sync? |
A |
Some source platforms introduce delays in API data availability due to processing pipelines or attribution windows. If data appears incomplete:
✔ Tip: Attribution-based platforms (e.g., paid ads platforms) often update historical metrics retroactively. Compare data at least 24–48 hours after the reporting period has closed. |
SECTION 3 — ESCALATION & SUPPORT
Q10 |
I have completed all checks and the mismatch still exists. What should I do next? | ||||||||||||
A |
If the discrepancy persists after completing all troubleshooting steps, escalate to the Daton support team with the following details:
Providing all of the above details upfront will significantly reduce investigation time and help the support team identify the root cause faster. |
Q11 |
What outcome should I expect after completing the troubleshooting steps? |
A |
After completing the validation steps described in this guide, one of the following outcomes should occur:
✔ Tip: Document each step you complete and its result before escalating. This creates a clear audit trail and avoids duplicate effort during the support investigation. |
For More Details Please Check: FAQ_Step_Guide