The analytics team has lost trust in the data warehouse after three incidents: (1) A revenue dashboard showed incorrect numbers for three weeks before anyone noticed. (2) A table silently stopped updating after an upstream API changed its authentication method. (3) A dbt model introduced duplicate rows that inflated a key metric by 15%. For each incident: identify which dimension of data quality was violated, describe what monitoring would have caught it earlier, and describe what you would implement to prevent recurrence.