Enterprise Data Platform Health Check overview

Assesses the health of the enterprise data platform across ingestion, storage, processing, and serving layers -- evaluating ETL/ELT pipeline freshness and failure rates, auditing data warehouse query performance and cost trends, reviewing ML feature store consistency and staleness metrics, assessing data catalog coverage and metadata accuracy, analyzing data quality rule pass rates across critical business entities, evaluating observability of data pipelines including lineage completeness and anomaly detection coverage, and benchmarking platform SLAs against consumer satisfaction surveys. Produces data platform health scorecard, cost efficiency analysis, and improvement roadmap. Excludes new pipeline development.