Data Quality & Validation

Overview

Keeping your data accurate and reliable is essential for meaningful analysis. Daasity provides built-in tools and dashboards to help you validate and monitor your data quality across all integrations and reporting layers.

Account Health Dashboard

The Account Health Dashboard provides a high-level view of the overall state of your data pipelines. Use it to:

• Confirm that all integrations are syncing successfully.

• Review any failed or delayed extractions.

• Identify discrepancies in row counts or unexpected gaps in recent days.

This dashboard is the best place to check pipeline status at a glance, and should be part of your daily/weekly review routine.

Onboarding Validation Dashboard

During onboarding, Daasity provides a Data Validation Dashboard that helps ensure all initial integrations are set up correctly. It surfaces checks such as:

• Order counts by day vs. your source system (UOS/UOS-based validation) .

• Sales vs. marketing spend totals aligning to external reports (UMS-based validation) .

• Retail POS feeds (URS) and syndicated market data (URMS) matching expected coverage .

• Notification events (UNS) and traffic sessions (UTS) arriving in the expected ranges .

These validations help you confirm that the unified schemas are producing correct outputs before you roll out dashboards to your teams.

Ongoing Data Checks

Behind the scenes, Daasity’s Reporting Platform (drp) runs daily data validation tables that track duplicates, total execution time, and anomalies . These automated checks provide the foundation for what you see in dashboards and help proactively flag issues before they impact reporting.

Tip: If you notice unusual results in any dashboard, use the Account Health Dashboard as your first stop. If the pipelines look healthy, move to source-specific validation dashboards to narrow down the issue.