About Us

We understood everyone preaches Data Quality however don’t have an out of the box platform for an end-to-end data quality across both business and technical users. Bad data will never go away but understanding and fixing where possible using automation is much more important with growth in data.

The efforts spent towards traditional rules based DQ measurement haven’t scaled and newer thought process such as observability without the lack of semantics or business context results in more false positives than being useful. The net result is that organizations spent time and money without any value generation.

About DQLabs, Augmented Data Quality Platform

Data Quality First

With growing data and modern data management, it was time to pragmatically shift away from traditional ways and move into a new way of “Data Quality First” approach.


Self Learning
Semantics (business context) based automated Data Quality measurement and monitoring
Self Service 100% DQ Automation
Automate as much as possible but with relevance and self-learning capabilities
Enables all types of users
Serve all type of users – Business (Data Quality Stewards, Catalog, Governance) and technical (DataOps, Data Scientist, DevOps, Data Engineers etc.,)

An approach that works for all types of users – business and technical. That’s what we did. We worked with various clients to understand the challenges across various ecosystems, users, different maturity life cycle and built a platform with three guiding principles in mind. Over the next year, we did various deployments and solution accelerators across a wide variety of verticals and enhanced the platform to be more stable, provide immediate ROI and more importantly user friendly, self-learning as it goes to adapt to your unique organization needs.

As a result, today you get to enjoy an Out of the box Actionable Data Quality Platform for all needs.

Best Practices

DQLabs in Action: Observe, Measure, Discover


DQLabs in Action: Observe, Measure, Discover

The Modern Data Stack needs Modern Data Quality. Organizations deserve a better way to observe, measure and discover the data that matters. It’s time we eliminate the data silos created by legacy Data Observability, Data Quality and Data Discovery platforms by centralizing them into a single, agile solution. That is Modern Data Quality. That is DQLabs.

Join us on this webinar to learn how the DQLabs platform is the Modern Data Quality Platform eliminates critical data silos by centralizing Data Observability, Data Quality, and Data Discovery into a single, agile AI-driven platform.


12:00 pm: Welcome & Introductions

12:05: pm: Industry Insights: Defining Modern Data Quality

12:15 pm: DQLabs in Action: Platform Showcase 

12:30 pm: Questions & Answers

12:45 pm: Close

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