What is data discovery, and why is it important?

Data discovery helps organizations locate and categorize assets and assess their data quality efficiently. It provides business context for data and ensures that teams can trust the data they use for decision-making.

How does DQLabs’ semantics-driven discovery improve data understanding?

DQLabs automatically categorizes data assets using semantic layers, tagging them by domain, application, and other attributes, making it easier to navigate and analyze data quality.

How does DQLabs help with fragmented and scattered data?

DQLabs centralizes data quality insights, offering a unified view across all assets, helping teams quickly find and assess their data for increased trust in their data landscape.

Can non-technical users leverage DQLabs for data discovery?

Yes, DQLabs provides self-service data discovery with an intuitive interface, enabling business users to access contextualized data insights without technical expertise.

What types of filters does DQLabs offer for data search?

DQLabs provides advanced filtering capabilities based on attributes like data source, domain, data quality score, and other metadata, making searches more precise and efficient.

Platform
Solutions
- By Industry
  Banking, Financial
  Services & Insurance
  Data ObservabilityTrack Trends, Mitigate Risks,
  Improve Compliance
  Data QualityEnsure Accurate, Consistent
  Financial Data Integrity
  Healthcare and
  Life Sciences
  Data ObservabilityMonitor Clinical Data For
  Improved Patient Outcomes
  Data QualityEnhance Data Accuracy For
  Patient Safety
  Retail and CPG
  Data ObservabilityUncover Sales Patterns
  And Consumer Insights Instantly
  Data QualityBoost Product Data Accuracy
  And Consistency
  Government
  Data ObservabilityIncrease Transparency, Monitor
  Public Data In Real-Time
  Data QualityDrive Reliable Public Records
  And Services Quality
  Energy and Utilities
  Data ObservabilityMonitor Operational Metrics For
  Safe Power Delivery
  Data QualityOptimize Utility Data Accuracy
  And Reporting
  Manufacturing
  Data ObservabilityTrack Production Data For
  Process Improvement
  Data QualityEnhance Product Data Quality,
  Reduce Defects
  Technology
  Data ObservabilityGain Real-Time Visibility Into
  Technical Operations
  Data QualityDrive Data Consistency to
  Accelerate Innovation
- By Platform
  Snowflake
  Databricks
  AWS
  Azure
  Google Cloud Platform
  SAP
  Catalogs
- By Persona
  Data Engineers
  Data Leaders
  Data Scientists
  Data Architects
  Data Stewards
Integrations
Resources
Company

Book a Demo

New 2025 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions - Download Report

Platform
CORE PLATFORM CAPABILITIES
WHAT'S NEW?
Solutions
By Industry
By Platform
By Persona
Integrations
Resources
CONNECT AND LEARN
View Full Library
Blog
Case Studies
Analyst Reports
eBooks and Guides
White Papers
Webinars
Events
Videos
Solution Briefs
DQLabs vs Competitors
Upcoming Event
- Big Data London 2025
  View all Events
Company
KNOW DQLABS
WE ARE A LEADER
- Everest Group Data Observability PEAK Matrix® Assessment

Book a Demo

DQLabs Capabilities

Ensure trusted, reliable data with automated data quality, anomaly detection, semantic discovery, and issue resolution.

Smart Native Connectors

Out-of-the-box connectivity to integrate with every part of the data stack: from warehouses and lakehouses to transformation tools and BI platforms.

Business Dashboards and Insights

DQLabs provides out-of-the box dashboards for data leaders, engineers, and scientists for their specific data quality needs.

Data Profiling and Anomaly Detection

Automate profiling, monitor data health, and detect unknown issues with AI-driven anomaly detection.

Drift and Behavior Analysis

Automatically detect anomalies, track key metrics, and adapt to data changes with ML-driven insights.

Data Quality Dashboards

Identify top and bottom-performing assets, leverage supervised learning for accurate scoring, and enhance organization-wide data quality with hierarchical scoring.

Semantic Discovery

Automatically categorize and organize your data for better visibility, governance, and actionable insights.

Usage Observability

Optimize query performance, gain visibility into data consumption trends, and reduce compute costs with comprehensive usage observability.

Issue Management

Gain complete visibility into data quality issues, prioritize effectively, and accelerate resolution with DQLabs’ intelligent issue management.

Improved Governance

Ensure secure access, seamless catalog integration, and domain-based governance for better data quality and compliance at scale.

See DQLabs in Action

Discover Agentic AI-powered observability, quality, and discovery in one unified platform.

Book a Demo

On a mission to help organizations improve data trust.

DQLabs is an Agentic AI-powered Data Observability & Data Quality platform that enables data producers, consumers, and leaders to turn data into action faster, easier, and more collaboratively. Observe, measure, discover, and remediate the data that matters.

Connect & Learn

Blog
Case Studies
Analyst Reports
eBooks and Guides
White Papers
DQLabs vs Competitors

Webinars
Events
Videos
Solution Briefs
Resource Library

Platform

Data Observability
Data Quality
Data Discovery
Agentic AI Data Management
Platform Overview
View All Platform Capabilities

Solutions
By Data Platform

Snowflake
Databricks
AWS
Azure
Google Cloud Platform
SAP
Catalogs

Company

About Us
Partners
News
Recognitions
Careers
Contact Us

Solutions
By Persona

Data Engineers
Data Leaders
Data Scientists
Data Architects
Data Stewards

Featured Resources

What is Data Observability?
Data Observability vs Data Quality
What is Data Quality Management?
How to Evaluate Data Observability Tools?
Understanding Data Drift and Why It Happens
Importance of Data Quality in Healthcare in 2025

Solutions By Industry

Banking, Financial Services and Insurance
Healthcare and Life Sciences
Retail and CPG
Government
Energy and Utilities
Manufacturing
Technology