Data Quality Management

"Poor data quality costs organizations an average of $12.9 million annually, and AI models trained on low-quality data produce unreliable outputs that erode trust. CloudAI's Data Quality Management implements data quality frameworks on AWS Glue Data Quality and Amazon DataZone with automated profiling, validation rules, and anomaly detection — so issues are caught proactively rather than discovered by downstream consumers.

Related AWS services and AWS Marketplace products this engagement supports:

• AWS Glue Data Quality
• Amazon DataZone
• AWS Lake Formation
• Amazon CloudWatch

Most data quality issues surface too late to prevent impact. CloudAI builds data quality dashboards in Amazon QuickSight with scorecards, trend tracking, and SLA monitoring on Amazon CloudWatch, and establishes data stewardship processes and remediation workflows — creating accountability across data producers and measurable improvement in downstream analytics and AI accuracy.

Learn more about our full portfolio of AI and data solutions at https://cloudaillc.com/solutions/ai-and-data .

CloudAI Data Quality Management services include, but are not limited to:

Data quality frameworks and standards Automated data profiling with AWS Glue Data Quality Validation rules and anomaly detection Quality dashboards and scorecards in Amazon QuickSight Trend tracking and SLA monitoring with Amazon CloudWatch Data stewardship processes in Amazon DataZone Remediation workflows Proactive quality alerting

Note: This professional services engagement is billed entirely through AWS Marketplace. Any AWS services or AWS Marketplace products provisioned in the customer's AWS account during or after the engagement are billed separately by AWS and are the customer's responsibility."