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Data Quality and Observability for AI Readiness Data Science Business Intelligence Anomaly Detection

Drive your organization’s AI and business initiatives with trusted and high-quality data.

Trusted By Modern Data Teams Worldwide

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10x Data Quality Improvement

Cost Savings Through Enhanced Efficiency

Experience significant cost optimization through effective data quality management that minimizes downtime, allowing your teams to focus on strategic initiatives instead of dealing with disruptions.

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Designed for everyone

Empowered Business Users

Enable business users to take charge of managing data quality through user-friendly dashboards and self-service tools. This democratization fosters a culture of accountability, encouraging collaboration across teams in maintaining high standards of data integrity.

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100% Regulatory Compliance

Improved Compliance and Risk Management

Maintain accurate and reliable data to reach higher levels of regulatory compliance. This proactive approach reduces the risk of penalties tied to data inaccuracies while enhancing stakeholder trust in your reporting and analytics.

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Data Pipelines Monitoring

Keep track of data pipeline health in real time to detect delays, failures, and bottlenecks. Automatically identify broken data flows or schema mismatches, ensuring data consistency across systems.

Proactive Anomaly Detection

Keep track of data pipeline health in real time to detect delays, failures, and bottlenecks. Automatically identify broken data flows or schema mismatches, ensuring data consistency across systems.

Deep Data Profiling

Keep track of data pipeline health in real time to detect delays, failures, and bottlenecks. Automatically identify broken data flows or schema mismatches, ensuring data consistency across systems.

Custom Data Quality Rules

Keep track of data pipeline health in real time to detect delays, failures, and bottlenecks. Automatically identify broken data flows or schema mismatches, ensuring data consistency across systems.

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It is a leading solution when it comes to data quality and how to detect and resolve quality issues.

CEO
Insurance (except health)
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Automation using AI helps data quality checks in no time. Convergence of Data Quality and Data Observability all in one platform.

Global Pre-Sales
Software
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Modern Data Quality platform that provides a rich feature set around all the core capabilities expected of a data quality toolset.

Director of Product
IT Services
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It's easy to integrate and very user friendly. It allows any new integrations and enhancements which makes this tool quite effective and flexible.

Presales Manager
Software
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Data accuracy: Data quality platforms help in cleaning and standardizing data, ensuring accuracy and consistency.

Data Analyst
Finance (non-banking)
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Very innovative product and the level of automation is superb, particularly the automatic semantic sensing and application of a vast library of out-the-box validation rules.

CEO
Miscellaneous

DQLabs Platform

The DQLabs platform harnesses the combined power of Data Observability, Data Quality, and Data Discovery to enable data producers, consumers, and leaders to turn data into action faster, easier, and more collaboratively.

Data Observability

Monitor and resolve your data issues before they affect your downstream operations.

  • Data content: Track data accuracy, completeness, and integrity. Detect anomalies, errors, and schema changes automatically.
  • Data flow and pipeline: Monitor data pipelines, resolve bottlenecks, and catch broken pipelines or failed jobs in real time.
  • User, usage and utilization: Identify data usage patterns, track user access, and spot unusual activity for optimized security and performance.
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Data Observability

Data Quality

Ensure data accuracy and trust

  • 150+ DQ checks: Ensure data accuracy and trustworthiness with DQLabs out of the box DQ checks for all dimensions - Accuracy, Completeness, Consistency, Uniqueness, Validity, and Timeliness.
  • Customizable DQ checks: Customize data quality checks with flexible query mechanisms and conditional logic for specific use case requirements.
  • Data profiling: Out-of-box measures to analyze the data to profile at basic and advanced levels depending on one's use case.
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Data Quality

Data Discovery

Simplify the way you find and understand your data

  • Self-Service Data Discovery: A user-friendly platform that provides End-to-end visibility of business terms and quality metrics across your entire data ecosystem.
  • Semantic layer: Ability to define semantic terms, tags, applications, dimensions, and fields for effective data categorization
  • Catalog and Governance integration: Bi-directional integration with leading catalog and governance tools for enhanced data cataloging, automated data quality, and Increased trust in data.
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Data Discovery

Anomaly Detection and Alert Prioritization

Timely issue detection with smart alert prioritization

  • AI/ML powered anomaly detection: AI/ML-powered anomaly detection to continuously monitor data flows, comparing current values against historical benchmarks.
  • Alerts Prioritization: DQLabs Automatically prioritize alerts by deviation severity—high, medium, or low—so you can focus on the most critical data issues first.
  • Issue management: Integrate with Jira, Slack, and more to streamline issue resolution, enhance collaboration, and drive faster decisions.
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Data Remediate

Seamlessly integrate with your
Modern Data Stack

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Recognitions & Partnerships

Let our experts show you the combined power of Data Observability, Data Quality and Data Discovery.

What Our Clients Are Saying

Leading Data Provider Enhances Reliability by Shifting Left

85%

Reduction in Manual Data Quality Efforts

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“DQLabs helped us continuously improve data quality in business processes, applications, data, and analytic platforms using automated health checks and custom measures to build trusted data assets that support Operations teams.”

Peter Kapur
Data Quality and Governance Leader at WM

Leading Data Provider Enhances Reliability by Shifting Left

50%

Reduction in Total cost of ownership

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“DQLabs helped us deliver a consistent source of high-quality data to address high-risk populations’ concerns and improve public safety and community planning.”

Eric Finch
Chief Innovation and Technology officer at City of Spokane

Tacoma Public Utilities Enhances Data Discovery with DQLabs

8x

Improvement in data discovery and issue resolution

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“We are impressed with the DQLabs AI/ML-enabled search and discovery capabilities which saved lot of our time.”

Andrew Braeger
Solutions Architect