Regional Healthcare Payer - Data & Analytics AI Strategy & C

 *  Client details anonymized to respect confidentiality.

Opstify is currently supporting a regional health plan affiliated with a nationally recognized academic health system as it advances its next phase of data, analytics, and AI-driven transformation.

The organization serves multiple lines of business including government-sponsored programs and commercial populations, and is focused on strengthening data-driven decision-making across clinical, operational, and financial domains.

 Opstify is providing strategic and execution-focused leadership to help shape the organization’s enterprise data and analytics direction and enable scalable decision support across the business.

Current areas of engagement include:

• Enterprise data and AI strategy development aligned to business priorities.
• Design of a scalable analytics consumption layer to support operational and executive decision-making.  
• Data product thinking and prioritization to enable measurable business outcomes.   
• AI and advanced analytics strategy aligned to payer use cases. 
• Alignment of data governance, operating model, and organizational change considerations.  
• Collaboration with internal and external teams to ensure strategy aligns with platform modernization and integration roadmaps

 This engagement helped establish continuity and trust in analytics during a period of significant change.

Opstify enabled:

• Stable, secure analytics access for a large enterprise user base throughout the transition. 
• Improved dashboard performance and reduced report latency through platform tuning. 
• Strengthened governance and role-based access controls. 
• Streamlined license utilization and improved cost efficiency. 
• Sustained user satisfaction and adoption during migration to a modern BI platform.

The engagement focuses on building a sustainable foundation that connects data strategy, platform capabilities, and business outcomes — ensuring that future investments in analytics and AI are both scalable and operationally actionable.

Rather than isolated reporting solutions, the work emphasizes:

• enterprise alignment 
• reusable data products 
• governed and scalable consumption models 
• integration of analytics into operational workflows

This work is establishing the foundation for:

• more reliable and actionable enterprise reporting 
• improved cross-functional decision support 
• scalable AI and advanced analytics adoption
• stronger alignment between technology investments and business outcomes
   

As the engagement progresses through 2026, the focus remains on translating strategy into executable capabilities that support long-term payer performance and member outcomes.