DataOps Data Quality Monitor by Datagaps is a software platform that automates the testing and monitoring of data quality for both data in motion and data at rest. It provides business users and data owners with AI-powered dashboards for data observability, enabling continuous assessment of data accuracy, completeness, consistency, reliability, and timeliness. The tool integrates with various data systems, supports zero-code deployment, and offers features such as automated reporting and notifications. Its primary goal is to ensure trustworthy data for informed business decisions, regulatory compliance, and operational efficiency1.

Key Features

Automated Data Quality Testing Automates the validation of data in motion and at rest.

• Reduces manual effort in data quality checks
• Supports continuous monitoring

AI-Powered Data Observability Uses AI to enhance data quality dashboards and insights.

• Identifies data quality issues proactively
• Provides actionable metrics

Zero-Code Deployment No coding required to deploy or use the platform.

• Accessible to non-technical users
• Speeds up implementation

Seamless Integration Connects easily with various data systems.

• Minimizes disruption to existing workflows
• Flexible deployment options

Automated Reporting & Notifications Generates reports and alerts automatically.

• Keeps stakeholders informed
• Supports compliance and audit requirements

Benefits

Improved Decision-Making Enables decisions based on reliable data.

• Reduces risk of errors
• Increases business confidence

Operational Efficiency Automates and streamlines data quality processes.

• Lowers operational costs
• Minimizes rework in data-intensive projects

Regulatory Compliance Helps organizations meet data governance and compliance standards.

• Reduces compliance risks
• Provides audit-ready documentation

User Empowerment Empowers business users and data owners.

• Easy-to-use dashboards
• No technical expertise required