metodologia-data-quality

What problem does it solve?

Data quality issues undermine trust in analytics and decision-making. This Skill provides a structured framework to profile data, validate rules, codify data contracts, detect anomalies, and monitor SLAs across data pipelines.

Core Features & Use Cases

• Profiling baselines and health scores across core datasets
• Centralized validation rule engine with schema and cross-dataset checks
• Data contracts between producers and consumers with enforcement and versioning
• Configurable anomaly detection and remediation workflows
• SLA monitoring dashboards for executives and operators

Quick Start

Analyze your data sources to generate profiling baselines, establish initial validation rules, and draft a data contract template for key producers and consumers.