data-governance-framework

What problem does it solve?

This Skill provides a comprehensive framework for maintaining clean, accurate, and actionable CRM data, which is essential for reliable automation, reporting, and sales trust.

Core Features & Use Cases

• Data Quality Dimensions: Defines and measures accuracy, completeness, consistency, timeliness, uniqueness, and validity.
• Data Decay Mitigation: Outlines strategies and schedules for combating data decay.
• Standardization Rules: Provides guidelines for normalizing common data fields like country names, job titles, and phone numbers.
• Duplicate Detection & Merging: Establishes logic for identifying and merging duplicate records.
• Enrichment Best Practices: Recommends a waterfall strategy for enriching data from various sources.
• KPIs & Audits: Defines key metrics for data quality and outlines audit frameworks.
• Automation: Suggests automated validation, standardization, and enrichment workflows.
• Roles & Roadmap: Clarifies data governance roles and provides an implementation roadmap.

Quick Start

Use the data-governance-framework skill to establish a data quality scoring model for CRM contacts.