The Modern Data Quality Platform

Deliver reliable and accurate data for better business outcomes.
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Modern Data Quality Platform leveraging observability

A Modern Data Quality Platform delivers the data that matters.

A centralized platform that brings both the data minds and business minds together to not only observe, measure but also visualize, remediate and collaborate on Data Quality issues in their own ways with a focus on direct outcomes and measurable business value.

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

Data Observability

Data Observability

Remediation-centric

Data Relevance

Decentralized Data Ownership

Enhanced Data Collaboration

AI/ML-enabled Semantic Data Discovery

Fast, Reliable, and Scalable

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Trusted By Modern Data Teams Worldwide

Observe-Measure-Discover-Remediate
the data that matters

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 Quality

Agile quality-focused assessment for known issues across domains for data leaders, producers, and consumers.
Data Discovery

Automatic identification and classification of business terms across your data for standardized quality checks and improved governance.

Unified Data Quality Approach

Regardless of your role, you need a simple, augmented data quality platform that delivers relevant data that meets your unique needs.

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DQLabs, Inc is proud to be a Top 10 Semi-Finalist in the Snowflake Startup Challenge 2023.

``Snowflake Startup Challenge 2023: DQLabs in Top 10 Semi-Finalist``
Data Reliability

Improve data trustworthiness for critical decisions using automated data monitoring and notifying data engineers of reliability issues.

Business Quality

Improve confidence in consumption using business outcome-focused checks across processes, process owners, and data stewards.

Fully Automated

Modernize your data infrastructure in minutes using ML-powered, no-code data quality checks.

Performance Delivered

Deliver millions of checks across petabytes of data across lakes and warehouses in seconds.

Security Compliant

SOC Type 2 compliant platform in a highly secure infrastructure with no customer data retrieval.

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Our Customers

Trust Your Data Again: Ensure Data SLAs with DQLabs

As the Data and Analytics leader, ensuring robust data SLA adherence is paramount for maintaining data integrity and reliability.

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Ease of Use: Data Quality Made Simple with DQLabs
Simplifying Data Quality Management with DQLabs
 Simplifying Data Quality Management with DQLabs 1024 575 DQLabs

The importance of user-friendly interfaces in business tools cannot be overstated. Employing a user-friendly interface in business tools offers a multitude of benefits that can significantly impact operational efficiency, user satisfaction, and overall business success.  Here are the key advantages of incorporating a user-friendly interface in business tools: Faster Adoption and Reduced Training Time: A…

How to Improve Data Quality
How to Improve Data Quality: A Complete Plan for Data Teams
 How to Improve Data Quality: A Complete Plan for Data Teams 1024 575 DQLabs

In today’s digital age, every interaction, transaction, and customer touchpoint generates valuable information. Businesses are collecting information at an unprecedented rate – a trend with no signs of slowing down. IDC forecasts that by 2025, the global datasphere will reach a staggering 163 zettabytes, a tenfold increase from 2016.  But here’s the catch: the sheer…

Why Data Observability Matters for AI Readiness
Why Data Observability Matters for AI Readiness
 Why Data Observability Matters for AI Readiness 1024 575 DQLabs

While data quality is the foundation for effective AI, it’s not enough on its own. Just like a high-performance car needs a well-maintained road network to function optimally,  high-quality data requires data observability to deliver its full potential for AI initiatives. So what is data observability, and why is it crucial for organizations gearing up…

What is Data Quality And Why is it Important For AI Readiness?
What is Data Quality And Why is it Important For AI Readiness?
 What is Data Quality And Why is it Important For AI Readiness? 1024 575 DQLabs

In today’s data-driven world, artificial intelligence (AI) promises to revolutionize everything from healthcare diagnostics to personalized marketing. But for AI to truly deliver on its potential, it needs a solid foundation: high-quality data. Moreover, in industries such as healthcare, finance, and cybersecurity, where AI-driven insights drive critical decisions, the importance of data quality cannot be…

Case Studies

Learn how enterprise customers worldwide leverage DQLabs to improve data quality.

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Upcoming Webinars

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White Paper

Insights on Modern Data Quality Approach using multiple capabilities and enabling reliable, accurate data for better business outcomes.

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CASE STUDIES

Learn how enterprise customers worldwide leverage DQLabs to improve data quality.

Read our Case Study

2024 Gartner® Magic Quadrant™ for Augmented Data Quality Solutions

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WHITEPAPER

The Convergence of Data Quality and Data Observability

Read our Whitepaper

DQLabs, Inc is proud to be a Top 10 Semi-Finalist in the Snowflake Startup Challenge 2023.

``Snowflake Startup Challenge 2023: DQLabs in Top 10 Semi-Finalist``