E.T.L. The underestimated requisite to being data-driven
E.T.L. The underestimated requisite to being data-driven Overview of our office 1 Background on open data 2 Our journey to ETL 3 Key takeaways 4
Office of Open Data & Digital Transformation
Co-creating prevention, diversion, and intake service improvements with staff, service partners, and people experiencing homelessness
Building a service design practice Evaluation lens Information People Process Channels Infrastructure + Context & history + Digital & analog + Content and + Digital + Policy + Mindset and bias workflows quality of + Paper + Funding sources + Motivations information + Phone + Human resources + Needs communicated + Physical space + Physical infrastructure + Power dynamics across channels + Person to person + Tech infrastructure
End-to-end service improvements
Open Data
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Why open data Improves transparency and accountability 1 Drives business 2 Enable data-driven decisions 3 Empowers and informs 4 Drives civic engagement 5
Our journey to E xtract T ransform L oad
Voter registrations Voter turnout
Scheduling Logging, debugging ● ● Validation Hosting, scalability ● ● Alerts Maintenance ● ●
Takeaways ETL is unavoidable 1 Build in-house competency 2 Consider it when investing in new systems 3 Leverage existing infrastructure and expertise 4
Thanks! @timwis tim.wisniewski@phila.gov
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