PAVRON™ - Our Data Counts
How Data helps us make the "Greatest Impact"
Pavron™ – Primary and Secondary Data Collection
Primary Data
Primary data is information collected directly by Pavron™ from its own activities.
Examples:
Number of ponchos, blankets, and sleeping bags sold
Customer feedback at markets and community events
Donation amounts received
Number of emergency items distributed
Volunteer observations and reports
Attendance numbers at stalls and events
Customer surveys about emergency preparedness needs
Why collect it?
Measure community demand
Track stock levels and restocking needs
Improve products and services
Demonstrate community impact to supporters and sponsors
Support future funding applications
Secondary Data
Secondary data is information collected by other organizations and used by Pavron™.
Examples:
Weather and disaster statistics from Bureau of Meteorology
Emergency management reports from Queensland Government
Population and demographic data from Australian Bureau of Statistics
Research on cold exposure, heat stress, and emergency preparedness
Market attendance information from event organizers
Why collect it?
Identify areas of greatest need
Understand disaster and weather risks
Support planning and decision-making
Compare Pavron's results against wider community trends
Strengthen grant, sponsorship, and CSR proposals
Simple Summary
Data Type Example Purpose
Primary Data Ponchos sold, donations received, customer feedback Measures Pavron's direct impact
Secondary Data Weather reports, ABS statistics, emergency research Helps plan and justify community support activities
Pavron™ uses primary data to measure what it does, and secondary data to understand why those services are needed and where they can have the greatest impact.