Data Governance Framework Development: Designing and implementing policies, standards, and procedures to ensure data quality, consistency, and compliance with regulations like HIPAA (Health Insurance Portability and Accountability Act) or GDPR (General Data Protection Regulation).
Data Strategy and Roadmap: Creating tailored strategies to align data management practices with business goals, such as improving patient outcomes, optimizing claims processing, or enhancing operational efficiency.
Data Quality Management: Implementing processes to clean, standardize, and validate data, ensuring accuracy and reliability for analytics, reporting, and decision-making.
Analytics Enablement: Supporting the use of data for advanced analytics, AI, and machine learning initiatives, helping organizations derive insights for better patient care, cost reduction, or fraud detection.
Change Management and Training: Guiding staff and stakeholders through the adoption of data governance practices, including training on tools, policies, and best practices.
Master Data Management (MDM): Establishing a single source of truth for critical data (e.g., patient records, provider information, or policyholder details) to reduce redundancy and errors.
Orion Advisory 