Trusted by leading agencies and brands
How Adverity can improve the quality and reliability across your entire data warehouse:
Identify errors before they spread
Automatic data checks flag missing values, inconsistencies, or anomalies before they affect your reports.
Ensure your data is
AI-ready
Work confidently with AI and ensure trust in its outputs; clean and accurate data in, clean and accurate results out.
Trust every number
Work with verified, reliable data across your entire warehouse that gives you confidence in every analysis and decision, speeding up decision-making.
Save time with automation
Let automated quality rules do the manual checking for you, freeing up your team for higher-value work.
Keep your data aligned
Standardize naming and formats across all sources to ensure consistency and clarity in every report.
See data issues at a glance
Use clear visual dashboards and alerts to monitor data health and act fast when problems appear.
The essential quality monitor for your data warehouse.
Automated data checks
Continuously scan for missing values, inconsistencies, and anomalies to keep data quality high.
Data quality rules
Define custom rules to ensure data meets your accuracy and completeness standards automatically.
Error alerts
Receive instant notifications when issues are detected so you can act quickly.
Standardization tools
Easily harmonize naming conventions and formats across sources to maintain consistency.
Quality dashboards
Track overall data health in one view, monitor trends, and identify recurring problems.
Audit history
Keep a full record of detected issues and fixes for transparency and accountability.
See it in action
Trusted to keep your data safe
Your data is protected with strict security controls, compliance with global standards, and continuous monitoring to keep everything safe and private.
How good is the quality of the data marketers are using?
We know that good data quality is key to making data-driven decisions that will improve marketing performance. Without a solid foundation of accurate data, teams cannot hope to gain accurate insights.
On average, CMOs estimate that 45% of the data their teams use to drive decisions is incomplete, inaccurate, or outdated.
of CMOs see improving data quality as the biggest lever they can pull to improve marketing performance.
of CMOs believe that the biggest problem with their data is it is incomplete.











