Observability & Quality

• Alerting & Anomaly Detection on Volume, Freshness. Learn which tables didn’t get updated on agreed threshold.
• ETL / ELT Job monitoring with alerting system
• Notify for Table schema changes. Includes table deletion.
• Support for custom business logic via SQL tests.
• Custom frequency of checks depending on business needs.
• Data Profiling – Min/Max, Completeness etc
• Column level test:
  • Null values
  • Duplicate records
  • Format checks – email, phone_no
  • Custom Regular expression check
• Data Reconciliation module: To find discrepancy between datasets and different data source.
• Alerts supported – Slack, Email, MS teams

Data Catalog

• Data Discovery for all your data systems across the organization
• Monitor data incidents within data catalog to assist business users to learn for incidents and data assets which are verified and incident free.
• Data cataloging: Automatically catalog and classify data assets across various sources, including databases, data lakes, and cloud storage.
• Data discovery: Easily search, explore, and navigate through datasets within your organization.
• Tagging and labeling: Tag and label data assets with relevant keywords and classifications to improve discoverability.
• Data preview and sampling: Preview and sample datasets to understand their structure and content before using them in your analysis.
• Data lineage visualization: Visualize the flow of data through your organization, showing dependencies and relationships between datasets.
• AI – Bot to assist across the platform coming soon.

Data Governance

• Auto-tagging of PII and Sensitive assets.
• Access control and security: Ensure data privacy and compliance by managing access rights, permissions, and roles for users.
• Compliance and risk management: Monitor and manage data-related risks and ensure compliance with industry regulations and standards.
• Data Masking of critical data assets
• Data privacy management: Implement data protection policies and procedures to safeguard sensitive data and maintain privacy. (Coming Soon)
• Data glossary and dictionary: Maintain a centralized repository of data terms, definitions, and relationships for consistent data understanding across the organization.
• Integration with data catalog: Seamlessly integrate with data catalogs to leverage metadata and lineage information in data governance activities.
• Workflow and automation: Streamline data governance processes and tasks with automated workflows and approvals.