Data Quality Initiatives

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.