data-quality

What problem does it solve?

This Skill helps design and operate robust data quality programs for financial services, ensuring data accuracy, completeness, and consistency across systems.

Core Features & Use Cases

• Data Quality Dimensions: Understand and apply accuracy, completeness, timeliness, consistency, validity, and uniqueness to financial data.
• Golden Source Architecture: Designate and manage authoritative data sources for critical domains like security reference, client identity, and transaction data.
• Data Lineage & Governance: Implement tracking for data flow and establish accountability frameworks for data quality.
• Use Case: When building a new client data pipeline, use this Skill to define validation rules, establish the golden source for client contact information, and set up monitoring for data quality dimensions.

Quick Start

Design a data quality monitoring framework for security pricing data, focusing on accuracy and timeliness.