Seven Predictions About the Future of Homeless Service Data The Path Forward Seven Predictions About the Future of Homeless Service Data

Will my data strategy get me more fish? Hmmm… Will my data strategy get me more fish?

1. We will be More Strategic

Communities of Practice Orientation for Cohorts: ► Governance ► Continuous Quality Improvement (CQI) ► Involvement of people with lived experiences ► Mainstream resources HMIS Implementation System Modeling Project Rating & Ranking Right-Sizing Inventory Data Quality Consolidated Investment Plan Reduce Inflow Strengthen Housing-Focused Practices Coordinated Entry Scale Permanent Housing Governance Staff Capacity System Resilience Key: ● Data Fundamentals Track ● Practice & Process Improvements Track ● Data-Informed System Planning Track ● Structural/Foundational Elements Track correlate with the number of sub-topics in each course topic area sub-topics with shared approaches/activities but distinct content based on cohort track

2. Tools will Become More Advanced

3. Data Demands will Create Complexities

Longitudinal Systems Analysis (LSA) HDX 2.0 Display Demographics by household type for people experiencing sheltered homelessness, using RRH, and using PSH System Use by household types and population groups HDX 2.0 Upload CoC-Level HMIS Data Demographics Length of Time Homeless and in the System Housing Outcomes Returns to Homelessness Built-in Data Visualization Tools (Future) Detailed Downloadable Analysis Tables Guided System Modeling Tools (Future)

Who is in the LSA? Population Groups All Households Households with Adults & Children Adult-Only Households age 18+ Child-Only Households <age 18 Unaccompanied Youth (18-21, 22-24, and 18-24) Unaccompanied Children Parenting Youth (HoH age 18-24) Parenting Children Non-Veterans (all age 25+) Veteran Veteran Chronically Homeless Fleeing DV Fleeing DV Fleeing DV Disabled Disabled Disabled Key All Demos; All Sys. Use Data All Demos; Ltd. Sys Use Ltd. Demos; Ltd. Sys Use Large Families (3+ children) Older Adult (Age 55+) 1st Time/Returner 1st Time/Returner 1st Time/Returner Race/Ethnic Groups Race/Ethnic Groups Race/Ethnic Groups Quick-Returners Quick-Returners Quick-Returners Long-stayers Long-stayers Long-stayers

4. Challenges with Privacy Won’t Go Away

5. Real Time Insights will be Possible

Analyzing performance

System Performance Mapping Tools

6. Staffing Capacity will Expand

7. Communities will rely on Actionable Data

Contact Us Abby Miller - Abbilyn.M.Miller@hud.gov Fran Ledger - Fran.M.Ledger@hud.gov