At Based Analytics, we translate long-term community health objectives into analytically sound roadmaps designed to maximize success in securing competitive grant funding. By combining advanced predictive modeling with strategic planning, we provide health systems, non-profit institutions, and community partners with the defensible data infrastructure and clear evidence frameworks required by major funders.

Bridging Strategic Planning and Grant Funding Success

Major funding bodies—including federal agencies, state health departments, and private philanthropic foundations—demand more than descriptive needs assessments. They require rigorous, predictive proof of community risk and a clear, measurable plan for evaluation. We assess your current data infrastructure, model future health outcomes, and construct an analytic-backed destination that plots the most efficient path forward.

Core Pillars of Our Grantsmanship & Planning Methodology:

• Grants-Focused Analytic Prioritization: We apply quantitative machine learning methods to isolate key social determinants, ensuring capital and program development align with major grant priorities and evaluation criteria.
• Integrated Data & Proposal Strategy: We establish multi-year milestones for data collection, model refinement, and operational deployment—producing the detailed, defensible methodology sections needed for high-scoring proposals.
• Evidence-Based Execution Guidance: We equip internal data and operations teams with practical, scientifically defensible analytical guides that maintain alignment and prove ongoing stewardship to grant reviewers.

Key Strategic & Grantsmanship Deliverables

Our collaborative advisory framework adapts to support your organization’s multi-year planning cycles and competitive funding applications:

Unlocking Value Across Healthcare & Public Health

• Non-Profit Health Systems & Foundations: Transform routine Community Health Needs Assessments (CHNAs) into highly competitive grant applications that secure external capital for Community Health Improvement Plans (CHIPs).
• Academic Medical Centers & Research Institutes: Strengthen methodology sections for federal, state, and foundation proposals with validated SDoH predictive algorithms and census-tract risk profiling.
• Public Health Collaboratives & FQHCs: Align multi-agency coalitions around single, defensible analytical roadmaps that prove long-term stewardship and measurable community benefit.