Data Quality
One stop shop for data quality: configure rules, monitor quality dimensions, and resolve issues seamlessly. The app turns fragmented data into a reliable asset, empowering organizations with agility, fueling AI and analytics, and enabling faster, smarter outcomes across the enterprise.
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About
The Data Quality Application on ServiceNow platform provides a capability to manage and monitor data quality on the ServiceNow AI Platform. This app lays the foundation for building a robust, scalable data quality model, empowering teams to define, track, and take action on data quality issues more efficiently. Through this application, organizations can transform data quality from a reactive task into a proactive, measurable, and manageable capability.
Key Features
**Data Asset Registration**
Register ServiceNow tables as data assets to create a governed inventory of critical data across your platform.
**Automated Data Profiling**
Instantly assess data health of a table with profiling metrics such as Distinct, Null, Duplicate counts and the percentages for each of these counts.
**Configurable Data Quality Rules**
Define and enforce custom rules using industry-standard data quality dimensions as below:
_**Completeness**_ – Required data is present
_**Accuracy**_ – Values are valid or match a predefined pattern and are correct
_**Consistency**_ – Data aligns across fields and sources
_**Uniqueness**_ – Records remain free of duplicates
_**Timeliness**_ – Data is refreshed and current
**Rule Actions & Alerts**
Automate responses when quality thresholds are breached by sending email notifications or create ServiceNow incidents
**Scheduled Data Quality Jobs**
Run data quality operations on a recurring schedule which include Rule execution, Data Profiling, Consolidated email reports for stakeholders and Metadata refresh for registered assets
**Default Rules**
Apply preconfigured data quality rules automatically when registering data assets thereby reducing manual setup with built-in baseline checks (for example, completeness validation for auto-number and unique fields)
**Data Quality Templates and Components**
Use low-code templates and reusable components to create consolidated data quality summaries
Send scheduled, asset-level email reports instead of individual rule failure notifications
Allow teams to design their own custom templates by selecting components such as dimension scores, failed rules, and percentage-based metrics
**Unified Data Quality Workspace**
Monitor everything in one place with a dedicated workspace that provides:
**_Organizational data quality scores_**
**_Interactive charts and trends_**
**_Open issue tracking_**
**_Data asset inventory visibility_**