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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Recognitions & Partnerships

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DQLabs ranks as a Leader in the Everest PEAK Matrix® Assessment for Data Observability.

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Impact of Data Quality on Model Performance
The Impact of Data Quality on Model Performance
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Artificial intelligence (AI) and machine learning (ML) are no longer futuristic ideas. They have long moved from research labs to the heart of modern industries. Large language models (LLMs) like ChatGPT, Bard, and others are powering every conversational and advanced analytics interface. These technologies are changing how we operate and solve problems. What forms the…

Boost Data Reliability and Trust in Your Tableau Dashboards with DQLabs
Boost Data Reliability and Trust in Your Tableau Dashboards with DQLabs
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Tableau is one of the most popular tools for business intelligence dashboards and data visualization requirements. With a market share of nearly 14% in the data visualization category and over 53,000 customers, Tableau has become the go-to solution for organizations’ data visualization needs. It provides a user-friendly interface to enable business analytics dashboards that help…

8 Key Data Quality Elements that Enable Real-Time Data Governance
8 Key Data Quality Elements that Enable Real-Time Data Governance
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According to Gartner, by 2025, 80% of organizations aiming to scale their digital business will fail due to their inability to adopt a modern approach to data governance. Traditionally, data governance was often viewed as a reactive process, taking place after data was collected, stored, or analyzed. Governance teams would evaluate data quality, enforce rules,…

5 Key Strategies to Foster Data Trust for AI in Life Sciences & Pharma
5 Key Strategies to Foster Data Trust for AI in Life Sciences & Pharma
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The life sciences and pharmaceutical sectors are evolving with the influence of AI, especially generative AI, which is opening up new approaches to research, clinical trials, and patient engagement. Generative AI promises substantial value in the life sciences and pharmaceutical industries, with McKinsey estimating an annual economic impact of over $60 billion. This largely arises…

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

MDQS recordings available. Watch expert insights anytime.

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WHITEPAPER

The Convergence of Data Quality and Data Observability

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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``