Check out our Data Quality Smart Curation Features
Leverage DQLabs and Remediate Data Quality issues by cleaning, enriching and merging good records using ML based Smart Curation and Self Learning.
Automatic Smart Curation
Reduce your manual efforts spent cleaning data. Automate the curation process with DQLabs’ smart curation module which intelligently cleans the data using efficient machine learning algorithms.
Multiple Levels of Remediation
DQLabs allows you to clean and enrich data precisely the way you want to by providing three levels of machine learning algorithms: Basic, Reference, and Advanced.
Continuous Semantic Learning
DQLabs comes with the inherent ability to identify the patterns and trends in your data and continuously learn semantic relationships to constantly improve the remediation process.
Human Guided Reinforcement Learning
The DQLabs platform continuously learns from every interaction. It adapts and evolves based on the feedback you provide.
Enrichment Using API
You can easily connect any authoritative external or internal data enrichment tools with DQLabs using APIs to augment your data enrichment efforts by cross comparing and updating data like addresses, phone numbers, email adresses, missing values and more.
Merge, Consolidate and Create Semantic Models
Merging and consolidating data from huge data sets is a tedious process for data professionals. DQLabs makes it easier for you to join various relevant datasets, consolidate the data, and create semantic models to gain a single holistic view.
