DATA MISMATCH

Frequently Asked Questions: Troubleshooting Guide for Daton Warehouse Integrations

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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:

  • Missing records in Daton
  • Delayed or incomplete data sync
  • Partial data availability for a given period
  • Inconsistent or mismatched records
  • Unexpected differences in key metrics or totals

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:

  • Mismatched date ranges between the source report and warehouse query
  • Integration being inactive or in an error state
  • Incorrect accounts, profiles, or ad accounts selected in integration settings
  • Expired, revoked, or insufficient API credentials
  • API processing or attribution delays on the source platform side
  • Comparing different metrics, dimensions, or filter logic between source and warehouse

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:

OAuth-based connectors Token expiry, revoked authorization, or re-authentication requirements
API Key / Access Token connectors Outdated credentials, insufficient permission scopes, or recently rotated keys not updated in settings

 

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:

  • The source platform UI report
  • The warehouse data for the corresponding table
  • The columns or metrics being validated

⚠   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:

  • The integration status is Active
  • No authentication errors are displayed
  • Recent syncs have completed successfully
  • If authentication errors are present, re-authenticate the integration. Re-authentication applies primarily to OAuth-based integrations such as Seller and Ads connectors.

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:

  • Accounts
  • Profiles
  • Properties
  • Ad Accounts

✔   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:

  • The API Key or Access Token in Daton matches the one generated in the source platform
  • The credentials are active and have not expired or been revoked
  • The credentials carry the required permissions and scopes for the data being validated
  • If credentials were recently rotated in the source platform, the updated values have been entered in Daton integration settings

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:

  • Metrics (e.g., impressions, clicks, spend, revenue)
  • Dimensions (e.g., date, campaign, ad group)
  • Applied filters
  • Validation or aggregation logic

⚠   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:

  • Allow sufficient time for the sync window to complete
  • Do not compare data immediately after a sync — wait for the platform to finalize its reporting
  • Re-check the data after the expected delay period for your specific connector

✔   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:

Integration name The name of the affected integration in Daton
Date range validated The specific date range where the mismatch was observed
Source platform report Export or screenshot of the relevant UI report
Warehouse data Query output or export of the corresponding warehouse table
Columns / metrics used List of fields used in your comparison
Description of discrepancy A brief explanation of what is different and how significant the gap is

 

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:

  • The data discrepancy is self-resolved — a configuration fix (e.g., re-authentication, credential update, or account selection correction) closes the gap
  • The shared details provide sufficient context for the Daton support team to investigate and recommend the appropriate resolution

✔   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