Leverage DQLabs to scan various types of data sources and data sets in real-time and generate a trustable DQScore™ with the ability to track, manage and improve data quality over time.
You can measure your Data Quality Score (DQScore™) for all of your datasets, data sources, or attributes within the platform assessed by an AI-augmented automated profiler to know the true value of your organization’s data assets.
No more manual DQ rules to deal with. Our platform’s built-in interactive visual UI and self-learning capabilities allow you to interact, intervene seamlessly, and gain insight to understand the semantics behind your data. Our platform remembers and applies these rules automatically across your organization’s datasets.
End-to-end issue tracking capabilities within the platform help you to capture any data quality issues, create tickets, and collaborate with other users to fix the issues at the source. You can also integrate any 3rd party issue tracking products with DQLabs for better collaboration.
With DQLabs now you can create Domain level DQ scoring to get a holistic view of the data assets specific to your domains or department which helps you to take immediate action and make business-critical decisions.
You can create and execute any complex rules on the go with simple UI. It takes just a few clicks to configure advanced conditional operator-based rules or functions based or Spark SQL queries. No special skills are required, we created the platform with all types of users in mind.
Seamlessly integrates with your existing data catalog or governance platforms via our API capabilities. The platform exposes APIs and helps you to push our semantic metadata with DQScore™ and metrics to any external applications and deliver data through a secured centralized permissioning layer.
Leverage DQLabs to Measure, Score, and Identify bad data using auto-discovered rules across various attributes.
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