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Discover, Understand, and Trust Your Data

Bring context and clarity to your data quality with DQLabs’ semantics-driven data discovery.

Common Data Discovery Challenges

Search Across Complex Environments

Manually searching through a vast and fragmented data landscape makes it difficult for users to find relevant data quickly, leading to inefficiencies and delays in decision-making.

Lack of Data Context

Without semantics-driven discovery, data often lack the necessary context, making it challenging for teams to interpret and categorize data accurately for their specific use cases.

Discoverability for Non-Technical Users

Without a user-friendly interface or proper categorization, business teams struggle to access data quality insights and need to rely on technical teams, causing bottlenecks and hindering quick decision-making.

One Platform, Tailored Solutions: Powered by OMDR

Centralized View of Data Quality

Get a comprehensive view of data quality across all assets in one place, enabling faster issue detection and better decision-making.

Bi-Directional Catalog Integration

Enable seamless bi-directional integration with your data catalogs to enhance data quality management. DQLabs pulls metadata, runs quality checks, and pushes insights back, ensuring complete visibility of data health within your catalog.

Semantics-Driven Discovery

Automatically categorize data by domain, application, and tags for an organized, easy-to-navigate data landscape.

Self-Service Data Discovery

Empower business users with intuitive access to contextualized data quality insights without technical expertise.

Frequently Asked Questions

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