Built in Data Quality Controls

The suite of data quality monitoring tools within HomelessData help ensure that the facts and figures being reported are both accurate and meaningful.

 
 

System Modeling

Get an at-a-glance view at how clients move through and interact with your system

To end homelessness, a community must know the scope of the problem, the characteristics of those who find themselves homeless, and understand what is working in their community and what is not. Solid data enables a community to work confidently towards their goals as they measure outputs, outcomes, and impacts.

US Dept of Housing & Urban Development (HUD), May 2014

Works With Any HMIS

HMIS vendors are required by HUD to be able to produce data in the current HUD CSV Data Exchange Format.  HomelessData receives data in this format and can produce all of the HUD reports.  It is that simple.  Details for vendors on can be found here.

HUD Reporting & More

All of the reports related to homelessness that are required by HUD for regions, and for the projects within them, can be produced in HomelessData. The built-in data quality monitoring tools help ensure the reports are accurate.

Performance Measurement

The System Performance Measures are instrumental tools for measuring the efficacy of local initiatives to end homelessness.  These, combined with tools to support resource allocation strategies, help to maximize the impact of limited community resources.