Make your data reliable & discoverable. Decube allows data observability, data discovery, and governance, through a platform that is intuitive, comprehensive, and designed to supercharge your data journey.

“Data Trust platform for the GenAI era” encompasses a comprehensive approach to managing and leveraging data in the context of artificial intelligence (AI) and the generation of insights. Here’s a breakdown of each component mentioned:


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.

By integrating these components into a unified Data Trust platform, organizations can establish a solid foundation for managing and leveraging data in the GenAI era. This enables them to ensure the quality, integrity, and trustworthiness of their data assets, ultimately empowering them to derive valuable insights and drive informed decision-making with AI and analytics technologies.

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