Connect to any offline, online and real time sources with few clicks using out-of-the-box connectors. With AI driven DataSense™ module, DQLabs modernizes the meta data, catalog and taxonomy management with an integrated AI/ML and automated rules and learning capabilities. Not only it centralizes all metadata information, its relevant business terms, rules, data structures, data schemas, relationships, and metadata from sources but also enables search and query capabilities of metadata to facilitate discovery of data assets.
An Autonomous Data Quality profiling framework that scans various types of data sources and data sets in real time and provides scoring with the ability to track, manage and improve data quality over time. It also can discover patterns, insights, fraud, missing values and correlations across attributes using all connected datasets and data sources within fraction of minutes.
Machine Learning based smart curation module that identifies the optimal data preprocessing strategies and automates data curation with controls on data quality thresholds. This is further enhanced with the help of reinforcement learning and also predict the type of repair needed to resolve an inconsistency.
Easy entity definition to create Master Data Management for customers, products, devices, and other business entities and feed master records into MDM, update, and extract MDM for processing and export for further ingestion and reference data in other applications. Further the MDM layer is supported with Pre-built APIs, RESTful web services for viewing and controlling master data directly in other applications.
Whether you're just beginning to explore your options or you're ready for data quality solution, everything you are looking for is right here. Just invest your quality time and see how DQLabs is helping global organizations by empowering them with reliable and high-quality accurate data.
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