This document analyzes data on rice and wheat production, maternal and infant mortality rates, malnutrition, infant mortality rates, masoor (pulses) productivity, and irrigation levels to identify the best district in which to invest $8M through agricultural extension efforts to have maximum impact. Metrics showing extremely high maternal and infant mortality, high malnutrition, low masoor productivity and high availability of irrigation identified one district as the best place to direct funding.

1. Harnessing Data Intelligence to identify
where to invest $8M to create
maximum impact

2. • High Rice and Wheat Production
• Extremely High Maternal Mortality,
Infant Mortality Rates
• High Malnutrition

3. INFANT MORTALITY RATE PER
1000 LIVE BIRTHS

4. INFANT MORTALITY RATE PER
1000 LIVE BIRTHS
PRODUCTIVITY OF MASOOR

5. INFANT MORTALITY RATE PER
1000 LIVE BIRTHS
PRODUCTIVITY OF MASOOR
% OF AREA RECEIVING
IRRIGATION

6. Low Nutrition Levels
Poor productivity of Masoor (Pulses)
High availability of Irrigation
BEST DISTRICT TO INVEST IN EXTENSION
TO CREATE MAXIMUM IMPACT