4 key components of quality data
Community Solutions, Inc.
We deploy innovative problem-solving tools towards creating a lasting end to homelessness that leaves no one behind.
Real-time, person-specific data on homelessness is catalytic
So how do communities assess the quality of by-name data?
Learning alongside communities for eight years, Community Solutions has come to understand that the quality of a data system is influenced by four key pillars.
Each of the components listed below ensures that communities have the information they need and that practices are in place to sustainably reduce and end homelessness.?
Built for Zero communities are demonstrating?it is possible to make progress toward a data-driven system where everyone experiencing homelessness is known by name and in real time.?
Learn about the key elements of achieving quality data and the progress that communities across the country are making.
?VIDEO
Nevada County, California, has made tremendous strides in reducing veteran homelessness.?Quality data is a big reason why.
Bright spot
Sixty-four communities have achieved the quality,?by-name data?milestone for one or more populations.
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In the news
Minneapolis/Hennepin County, MN, will be receiving support from Community Solutions as one of a small cohort of large cities in the last mile of functional zero.
More housing for veterans
The Home Depot Foundation announced funding for more than 750 new housing units for veterans facing homelessness.