Creating a data driven culture inside the CoCs through ......• Long‐term, sustainable...

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Creating a data driven culture inside the CoCs through advanced data visualization John Barr Senior Consultant at Viztric Stephanie Roe Evaluator at King County

Transcript of Creating a data driven culture inside the CoCs through ......• Long‐term, sustainable...

Page 1: Creating a data driven culture inside the CoCs through ......• Long‐term, sustainable data‐driven decision‐making culture in each of the counties • Data sharing and related

Creating a data driven culture inside the CoCs

through advanced data visualization John Barr – Senior Consultant at Viztric

Stephanie Roe – Evaluator at King County

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Data Initiative

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Initiative Overview

Kicked off October of 2013

3 month project

Intent: Develop a Tableau dashboard for the 3 counties, Building Changes and Gates

Foundation that measured the progress of family homelessness across the Puget

Sound.

• What we want to measure?

• How we are going to define the measurement?

• What kind of cadence are we going to report?

• Create a repeatable process to support all of the above.

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Identified 3 core metrics

• Rare: Number of Homeless Families

• Brief: Length of time a family spends in homelessness

• One-Time: Returns to Homeless Rate

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DRAFT: Not actual Data

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Round 1 Lessons Learned

• Dashboards were nice but counties wanted additional information.

• Quarterly updates were not sufficient enough

• Need a sustainable solution for all counties

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Round 2 Goals

• Long‐term, sustainable data‐driven decision‐making culture

in each of the counties

• Data sharing and related learning activities with Building

Changes and Gates Foundation become standard practice

• Data is used to drive decisions around policy, practice and

funding

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Round 2 Approach

• Iterate on the logic around core metrics/KPIs

• Leverage the CSV standard for all counties

• Invest in Technical Assistance for the counties

• Build a peer group community amongst the counties to share

solutions, ideas, and challenges.

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Requirement Gathering

Exploration

Refinement

Publish (Iterations)

Iterate on logic

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Iteration example

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Advanced Analytics

Published Data Sources:

Curated Data Sets:EnrollmentEnrollment_ByTimeframeEpisodeByTimeframeSystem Measures

Raw Files:All CSV

validation/clean up

Leverage the CSV export

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Technical Assistance Sessions

• Weekly sessions to go through challenges, questions,

and solutions using counties published data in Tableau

• Focus was on day to day challenges and solutions

• Loop back with other counties to share learnings in TA

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Executive Dashboard

DRAFT: Not actual Data

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Suite of Dashboards

DRAFT: Not actual Data

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Unlocked the data

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Benefits

• Merging multiple datasets making the data easily

accessible

• Exploration of data became very easy

• Complex calculations that capture system flow become

simplified and automated

• Published Dashboards are refreshed automatically

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“It is a program not a project.”

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Future opportunities and work

• HMIS.CSV integrated with Coordinated Entry data.

• Long-term sustainability for self management at the

continuums

• County customization

• Additional data sets to be integrated with curated data

sets

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Links & Contact Information

• http://allhomekc.org/rapid-re-housing/

• http://allhomekc.org/the-problem/

• https://public.tableau.com/profile/kingcountydchs#!/

• John Barr: [email protected]

• Stephanie Roe: [email protected]

Creating a data driven culture inside the CoCs

through advanced data visualization John Barr – Senior Consultant at Viztric

Stephanie Roe – Evaluator at King County

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Questions?

Creating a data driven culture inside the CoCs

through advanced data visualization John Barr – Senior Consultant at Viztric

Stephanie Roe – Evaluator at King County

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Appendix

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DRAFT: Not actual Data

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