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

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

3. 1. We will be More Strategic

6. 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

7. 2. Tools will Become More Advanced

10. 3. Data Demands will Create Complexities

11. 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)

12. 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

13. 4. Challenges with Privacy Won’t Go Away

15. 5. Real Time Insights will be Possible

16. Analyzing performance

17. System Performance Mapping Tools

18. 6. Staffing Capacity will Expand

21. 7. Communities will rely on Actionable Data

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