Spotlight on a User: Improving Agency Data Quality

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In 2019, several agencies were awarded Data Quality Incentives funds from the HMIS Governing Board to help them address their agency’s data quality challenges and create lasting improvements. In this edition of Spotlight on a User, Sarah Broich, Single Adult Program Manager at Simpson Housing Services, shares her insights from the Adult Shelter Connect’s data  … Read more

A QDQ Thank You

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Wow. You amaze us. 928 projects (60%) submitted scores for Q4 2019! Thank you for your commitment to excellent data quality. Miss this deadline? You will have another opportunity come spring! Start planning ahead and check out the Quarterly Data Quality page for future dates. Was this a bumpy road for you? Please drop us  … Read more

Quarterly Data Quality Feedback Form

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Fill out this QDQ feedback form if you have feedback related to the QDQ process that you want to make sure gets on our radar. We need feedback like yours! The first six months of 2020, in particular, will be a period of testing, listening, and responding. 3 Other QDQ Reminders The QDQ Data Portal  … Read more

Quarterly Data Quality Training Sessions – Register Today!

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Over the past year, ICA, CoC Coordinators, State Partners, the Tribal Collaborative, and users have worked together to design Minnesota’s Quarterly Data Quality (QDQ) monitoring process. Quarterly Data Quality is launching in January 2020 and QDQ in-person training occurs January 7th through January 16th. CoC Specific Content: These sessions will have information about monitoring that  … Read more

Quarterly Data Quality Training Sessions

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Over the past year, ICA, CoC Coordinators, State Partners, the Tribal Collaborative, and users have worked together to design Minnesota’s Quarterly Data Quality monitoring process. The process is nearly complete and the trainings are just around the corner. Four times per year, every single agency entering data into Minnesota’s HMIS will review their data quality  … Read more

Client Location and Mini Data Quality Clean Up

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When we reviewed our Federal Fiscal Year 2019 data quality clean up results, we saw that most things had improved greatly, thanks to your hard work! Unfortunately, we are still seeing many Client Location errors. If Client Location is missing or incorrect, the client’s stay will be kicked out of LSA and SPM reports, resulting  … Read more