Data quality monitoring at a glance
Get a high-level view of data quality monitoring.
Take it from the top with data quality monitoring. Get the overview here, then see the subtopics in this section to drill down to the details.
What is data quality monitoring?
Data quality monitoring processes ensure your organization's data is complete, accurate, up-to-date, and compliant with relevant governance requirements.
Analyze chart data to determine whether data proves fit for use before consuming the data or deriving business decisions based on it. Identify issues that can minimize the time and effort needed in finding and cleaning the data.
Monitoring the quality of your data to defend against potential revenue loss, decrease operational efficiency, and poor decision-making that can result from disorganized information scattered across multiple silos.
Who monitors data quality?
This content is curated for these Reltio user roles defined in topic About roles:
Business User
Data Steward
Why would I monitor data quality?
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Analyze data quality trends over time for better decisions and visibility into progress
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Easily view and quickly fix reference data errors directly from the dashboard
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Access timely and trusted data with continuous data validation
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Have real-time visibility into operational metrics with our interactive dashboard
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Use high-quality data for all your business needs with ongoing cleansing, standardization, and reference data management
When would I monitor data quality?
You monitor the quality of data after you have loaded it to the Reltio Data Cloud and integrated any third-party data with it.
Where do I monitor data quality in the Reltio Data Cloud?
Reltio Multidomain MDM
Reltio Customer 360
Monitor the quality of your data in Reltio in the Real-Time Data Quality (DQ) dashboard from .
For details, see topic Data Quality dashboard navigation.