
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
AI/ML-enabled Semantic Data Discovery
Fast, Reliable, and Scalable
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
Get alerted automatically for any deviations from known benchmarks to identify unknown issues at data in rest and motion
Agile quality-focused assessment for known issues across domains for data leaders, producers, and consumers
Automatic identification and classification of business terms across your data for standardized quality checks and improved governance
With the growth in data and the varying needs of data engineers, data scientists, and analysts, you need a simple, augmented data quality platform that monitors and measures quality in different ways they see the data relevant to their roles
Improve data trustworthiness for critical decisions using automated data monitoring
Improve confidence in consumption using outcome-focused checks across processes
Auto discover rules using centralized management of reference and business terms
Modernize your data infrastructure in minutes using ML-powered, no-code data quality checks
Deliver millions of checks across petabytes of data across lakes and warehouses in seconds
SOC Type 2 compliant platform in a highly secure infrastructure with no customer data retrieval
Did you know that over 80% of organizations rely on quality data to make decisions? However, if this data is not reliable, a company can quickly make the wrong calls Data observability is one of the most important topics in data engineering today But what is it, and why do you need it? In this post, we’ll…
With today’s rapid growth in data, a focus towards data quality is more critical than ever before Since the first bit of digital data existed Data Quality has existed alongside it as a practice, and yet after decades gaps in the marketplace still exist as the focus towards business impact is often forgotten We quite…
The need for high-quality, trustworthy data in our world will never go away With the growth in data, the need arises more than ever before Even though we have evolved from data silos to pipelines (ELT/TL) to streaming to modern data stack/warehouse, multi-cloud, data mesh — still we are faced with an age-old problem of…
Gartner, Inc just released a comprehensive comparison of the leading suppliers of Data Quality Software which included DQLabs The Connecticut-based technology research and consulting company published this report covering data management solutions for technical professionals Gartner undertook this study after surveys with leading organizations revealed that capabilities provided by traditional data quality software require too… Learn how enterprise customers worldwide leverage DQLabs to improve data quality
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