Changing the Bureaucrat’s Mind Toward Data Driven Decision
summary
Claims that NGA is shifting culture and sharing data are supported by concrete steps: 2014 release of unclassified data on the web, investment in containerization and Python tooling, public GitHub repositories, Tableau for HR, and outposts in Silicon Valley New York and St Louis. Promises of scale note a projected millionfold data increase and an estimate that manual review would need 8 million analysts. Proposals include a non‑contractual co‑investment model for data and algorithms and an “Engage” exchange for short collaborative placements.
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chapters (16)
- 0:00Introduction
- 1:07Data-driven decisions in government
- 3:56Trust data over intuition
- 7:12Past data-sharing failures
- 10:00Geospatial data and automation
- 13:30Federal data fragmentation
- 15:15Mission vs corporate data
- 18:24Data investment process
- 21:51Data to innovation
- 23:36Culture change and outcomes
- 24:18Q&A: NGA data domain
- 26:45Q&A: Sharing with agencies
- 27:51Q&A: University collaborations
- 28:54Q&A: NGA partnerships
- 29:15Q&A: Open-source tooling
- 30:47Q&A: Engage program
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