Data Strategy & Governance
Establish comprehensive data governance frameworks and strategic roadmaps that ensure data quality, compliance, and business value across your organization.
The Aether Advantage
We develop comprehensive data strategies that align with your business objectives while establishing robust governance frameworks. Our approach ensures data quality, security, and compliance across all data initiatives, creating a foundation for sustainable data-driven growth.
From data cataloging and lineage tracking to privacy compliance and ethical AI frameworks, we help organizations build trust in their data while maximizing its strategic value through clear policies, processes, and accountability structures.
Data Governance Frameworks
Establishing clear policies, standards, and processes for data management
Regulatory Compliance
Adherence to GDPR, CCPA, HIPAA, and other industry regulations
Data Quality Management
Implementing controls to ensure data accuracy, completeness, and consistency
Our Governance Implementation Process
Assessment & Strategy
Evaluate current data maturity, identify gaps, and develop a comprehensive data strategy.
Framework Implementation
Design and implement governance policies, data quality standards, and compliance frameworks.
Monitoring & Evolution
Establish ongoing monitoring, training, and continuous improvement processes.
Governance Solutions We Implement
From regulatory compliance to data democratization, our governance frameworks support diverse organizational needs and maturity levels.
Regulatory Compliance
Frameworks for GDPR, CCPA, and HIPAA with automated monitoring
Data Quality Management
Automated validation, cleansing, and monitoring for trusted data
Data Democratization
Self-service platforms with governance guardrails for safe data access
Client Showcase
Data Spend Optimization & Quality Enhancement
Developed a comprehensive data strategy and governance framework for Google to optimize data spend and improve data quality across their global operations. This involved creating a unified data catalog, implementing data quality monitoring, and establishing a data governance council.
