Expert capabilities in Data Governance for enterprise data and analytics solutions
Data governance establishes the frameworks, policies, and processes that ensure data is accurate, accessible, and secure across the enterprise. It provides the foundation for data-driven decision making while managing risk and regulatory compliance.
This competency encompasses the strategic, operational, and technical aspects of data governance, from policy development to implementation of automated data quality and lineage tracking systems.
Implementing comprehensive data quality frameworks that ensure data accuracy, completeness, and consistency across all enterprise systems.
Automated analysis of data sets to understand structure, content, quality issues, and relationships for baseline quality assessment.
Executive dashboards that track data quality metrics across business domains with trend analysis and exception reporting.
Real-time data quality checks and validation rules applied during data ingestion and processing workflows.
Protecting sensitive data through comprehensive security controls, privacy compliance, and access management frameworks.
Role-based access control (RBAC) and attribute-based access control (ABAC) systems that ensure users access only the data they need.
Automated and manual data classification systems that identify and tag sensitive data for appropriate protection measures.
GDPR, CCPA, and other privacy regulation compliance through data mapping, consent management, and data subject rights automation.
Establishing comprehensive data lineage tracking and cataloging systems that provide transparency and trust in data assets.
Self-service data catalogs that enable business users to find, understand, and access relevant data assets across the enterprise.
Automated lineage tracking that shows data flow dependencies and enables impact analysis for changes and troubleshooting.
Centralized metadata repositories that capture business and technical metadata for comprehensive data understanding.