Overview

Complete visibility and control over your data and AI ecosystem

Foundation provides comprehensive governance and observability capabilities that ensure data quality, explainability, compliance, and operational excellence across your entire data and AI platform.

Track Data Lineage: Trace data from source systems through transformations to final use cases

Implement Data Quality Rules: Set up automated checks for completeness, accuracy, and consistency

Monitor Access Patterns: Track who accessed what data and identify unusual activity

Create Data Catalogs: Document data assets with business definitions and usage guidelines

Manage Data Classification: Tag sensitive data and implement appropriate security controls

Generate Compliance Reports: Create audit trails for regulatory reviews and certifications

Monitor Pipeline Performance: Track data processing times, error rates, and resource usage

Implement Data Retention: Configure automated data archival and deletion based on policies

Establish Data Stewardship: Assign data owners and stewards with clear responsibilities

Key Features:

• Data Lineage Tracking: Complete visibility into data flow from source to consumption

• Data Quality Monitoring: Automated data quality checks with configurable rules and alerts

• Audit Logs UI: Complete audit trail of who accessed what data when

• Data Cataloging: Searchable inventory of all data assets with business context and metadata, including data classification and sensitivity tags.

• Data Masking: Hide data to comply with data protection and confidentiality standards while enabling data use.

• Data Product Versioning: Avoid breaking changes without notifying consumers by maintaining different versions of data products and providing pre-emptive warnings thanks to automated impact assessments.

• Automated Data Retention: Define and enforce data retention rules at scale to turn your policies into automated actions.

• Job Monitoring UI: Track the execution of data pipelines and workflows, identify issues and monitor data freshness health.

• Connector Monitoring UI: Ensure data is being ingested successfully by monitoring connector behaviour.

• Approval Workflows: Enforce approval workflows as defined by your organisation’s data policies before new permissions are granted.

• Data Contracts: Full transparency between the data product owner and the consumer on the commitments and quality of each data product.

• Policy Management UI: Create custom policies and custom roles to extract the maximum value from our flexible permissions system.

• Model Monitoring UI: Track model performance, drift detection, and business impact metrics

• Data Use Monitoring: Track the purposes for which data is being used and satisfy compliance requirements at the click of a button. Define and enforce approval policies when data is required for a use case.