Once I find out any discrepancy, I single out the suspicious data and evaluate independently. In case this doesn't help, I usually seek for opinions from collaborators

Analytics snags can be frustrating, but the key is to address them methodically. Start by identifying the root cause, whether it’s a data tracking issue, a misconfigured dashboard, or inconsistent metrics. Collaborate closely with your team or data experts to troubleshoot. Regular audits of your analytics setup can help catch small issues before they become bigger problems. And don’t forget to communicate findings clearly, so your team can make informed decisions based on accurate data.?

I would recommend doing a workflow audit and figure out what is causing the discrepancies and adjust accordingly. The audit should be able to show analytical proof of where the breakdown is happening.

Resolving Data Discrepancies in Marketing Analytics Data discrepancies can be a common challenge in marketing analytics workflows. Here are some strategies to effectively resolve them: Identify the Source: Pinpoint where the discrepancies are occurring. Are they between different data sources (e.g., website analytics, CRM, email marketing), or within the same platform? Review Data Definitions: Ensure that data definitions and calculations are consistent across different platforms. Mismatched definitions can lead to discrepancies. Check for Data Quality Issues: Verify the accuracy and completeness of your data. Look for missing data, duplicate entries, or errors in data collection.