Ensure Data Integrity and Compliance with Expert Governance Audits Maintain data integrity and meet compliance standards through thorough governance audits. Trust expert audits to identify gaps and ensure your data management practices are robust and regulatory-ready.
In a rapidly changing regulatory environment, maintaining strong
data governance is vital for risk mitigation and compliance.
Our Data
Governance Audit and Assessment services thoroughly review your data governance framework,
identifying gaps and opportunities for improvement.
We ensure your
data practices align with best practices and regulatory standards, providing actionable insights to
strengthen governance and ensure compliance.
We evaluate data management practices against regulations like GDPR, HIPAA, and CCPA, identifying gaps and mitigating data-related risks to protect against legal challenges.
We assess data quality controls and validation processes, offering solutions to enhance data accuracy and integrity, ensuring reliable decision-making.
We review the roles of Data Owners, Stewards, and Custodians, confirming accountability structures to strengthen data governance across teams.
Our audits provide tailored recommendations for ongoing improvement, helping organizations adapt to new regulations and evolving operational needs.
We deliver detailed audit reports and action plans to address gaps, ensuring transparency and preparedness for future audits and compliance.
A financial services provider, struggled with regulatory compliance (GDPR, CCPA) due to siloed, inconsistent data governance.
Conducted a comprehensive audit, identifying compliance gaps and recommending new workflows, security measures, and staff training.
Post-implementation, Client closed compliance gaps, passing audits smoothly and enhancing customer trust through better data handling.
A manufacturer, faced inefficiencies from inconsistent data and manual reconciliation across departments.
Audited data governance, pinpointed inefficiencies, and suggested standardized data definitions, clearer ownership, and automation.
Reduced data errors, decreased manual efforts, improved tracking, and enabled faster decision-making for better operational efficiency.
A healthcare provider, needed better data security and access control amid growing digital touchpoints.
Conducted an audit, identifying access vulnerabilities and recommending stricter controls, encryption, and improved auditing.
Enhanced security, reduced data breach risks, and ensured compliance with industry certifications, boosting patient trust.
A large retail chain, needed their data practices aligned with strategic goals for personalization and inventory management.
Assessed current practices, found misalignment, and recommended a framework linking data to business outcomes with a roadmap for data consolidation.
Achieved better data-driven decisions, enhanced customer personalization, improved inventory management, and supported growth.
A government agency, lacked transparency and accountability in managing citizen data, raising concerns about data misuse.
Conducted an audit, recommended a data ownership framework, and implemented automated data tracking for clear responsibility.
Established data stewardship, improved monitoring, and built public trust with enhanced transparency and accountability.
A telecom company, faced challenges integrating separate data systems during an acquisition.
Audited both companies' data governance, developed an integration strategy with data mapping and migration protocols.
Successfully merged data, resolved inconsistencies, streamlined operations, and improved customer experience, enabling strategic benefits from the merger.
