Data quality embedded in pipeline instead of post-processing

A new data platform integrates validation and cleansing at ingestion time, reducing downstream errors by 70%. The system uses real-time schema checks and anomaly detection to catch data issues before they propagate. This shift cuts processing time by 40% for large-scale data pipelines.