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Data Quality Initiatives
Free 7-Day Trial:
Data Quality Initiatives
Use DQLabs for automated AI/ML augmented Data Quality Initiatives in less than few days with any ecosystem. No need of any manual rule creation.
In this trial, you can
Profile as you ingest
Profile data as you ingest to identify bad data across all data sources.
DQ Scorecard
Out of the Box Data Quality scorecards to measure and monitor data quality progress over time at attribute levels.
Impact Analysis
Obtain detailed impact analysis and data quality root cause analysis on upstream and downstream data assets.
Trend Analysis
Autonomously discovers changes and monitors trends and autoconfigures to aid and improve data quality.
DQ Powered Catalog
Augmented Data Catalog with DQ score at the attribute, dataset, datasource level across organization assets.
Visual Learning
Enables business and technical users to interact with data and understand the root cause of quality issues
Statistics & Pattern Analysis
Advanced AI/ML algorithms to discover patterns, insights, fraud, missing values and correlations across attributes, datasets, and data sources.
Anomaly Detection
Automatically detects outliers – identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data.