Valid and reliable data provide the raw materials for effective advocacy, policy, and program design.
Data Collection
• Survey design and implementation
• Focus groups and key informant interviews
• Quantitative, qualitative, and mixed methods analysis
• Data quality plans and training to assure data validity and consistency
Data Management, Analysis & Reporting
• Data Quality assessment and diagnostics
• Data prep including data cleaning, transformation and integration
• Participatory data analysis: scan, diagnose, prioritize
• Data interpretation, summation, and visualization
HMIS
• Data Quality reporting and improvement
• HUD reporting including PIT reports, AHAR reports, APRs, NOFA reporting
• Customized HMIS reporting through SQL, ETO Results, Crystal Reports, other BI strategies
• HMIS training and technical assistance