The CD2030 Data Suite implements an end-to-end analytical workflow that transforms raw health facility data into credible, actionable coverage estimates. The workflow follows a logical sequence: assess data quality, correct for incompleteness and errors, select evidence-based denominators, calculate coverage, and examine inequality patterns at national and geographic levels.

This structured approach addresses a universal challenge in RMNCAH monitoring: facility data are abundant but often unreliable, while surveys provide gold-standard coverage estimates but are infrequent and expensive. The CD2030 Datasuite bridges this gap by systematically vetting facility data, calibrating them against survey benchmarks, and producing continuous trend lines with quantified uncertainty. The result is confidence that your coverage numbers reflect reality rather than data artifacts.