Data
Data governance, quality pipelines, lineage, privacy compliance, and readiness for AI-grade data access.
Is a comprehensive data governance framework implemented and enforced?
Do you have a unified data catalog with lineage and quality metrics?
Is your data accessible in a centralized lake or lakehouse architecture?
Are data quality standards defined and monitored with automated pipelines?
Is training data labeled, versioned, and stored in a reproducible manner?
Do you have processes to handle data drift and distribution shift over time?
Is there a data privacy and consent management framework aligned to regulation?
Are synthetic data generation capabilities available where real data is limited?
Is data enrichment and third-party data integration supported?
Are master data management practices in place?
Is real-time data streaming infrastructure available for time-sensitive AI use cases?
Is data access governed by role-based controls and audited?