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Dear Fiscal Board - Chief Data Officer shares thoughts and experiences with Puerto Rico

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Maksim Percherskiy from the City of San Diego presents a civic app for shelters developed during hurricane Irma for Puerto Rico, and also talks about the role of the Chief Data Officer and the benefits for Puerto Rico to have such a team.

Published in: Government & Nonprofit
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Dear Fiscal Board - Chief Data Officer shares thoughts and experiences with Puerto Rico

  1. 1. Maksim Pecherskiy Chief Data Officer City of San Diego @MrMaksimize
  2. 2. Performance & Analytics RefugiosPR.netlify.com
  3. 3. Performance & Analytics RefugiosPR.netlify.com
  4. 4. Performance & Analytics With the help of... ● Giancarlo Gonzalez ● Edrick Ortiz ● David Leonard ● Arnaud Vedy
  5. 5. Performance & Analytics ● Shelters (w/ Geolocations) ● Hospitals ● Puerto Rico Flood Zones Data Needed
  6. 6. Performance & Analytics ● Shelter CSV ● Schools (data.pr.gov) ● Clean Shelters (phone #, addresses) ● Clean Schools ● Join shelters <> Schools to get geo ● Geo for all but 88 ● Google Geocoder for 88 (using addr and place based geocoding) ● Geo for extra 41 ● 47 CANNOT BE FOUND BY GOOGLE Shelters
  7. 7. Performance & Analytics Shelters
  8. 8. Performance & Analytics ● Hospitals CSV ● Clean hospitals (address, phone numbers) ● Geocode ● Add to map Hospitals
  9. 9. Performance & Analytics Hospitals
  10. 10. Performance & Analytics ● FEMA Geoserver ○ Down half the time ○ Tried extraction in two languages (node & py) ○ #FAIL ● FEMA Bulk ○ Download 12GB flood zones file for US ○ Open QGIS, load into RAM ○ Filter down to PR ○ Understand Flood Zone Data ○ Filter out 500 year flood ○ Host & Add to map Flood Zones
  11. 11. Performance & Analytics This is too hard for a common use case ● Dev time ○ 20-ish hours ● Working with bad data ○ 15-ish hours ○ 2 languages ○ 3-4 toolchains (depends how you count)
  12. 12. Performance & Analytics Andrell BowerArnaud Vedy Me
  13. 13. Performance & Analytics Open Data Storytelling Visualization GIS Data Science Architecture Strategy Meetings :(
  14. 14. Performance & Analytics
  15. 15. Performance & Analytics
  16. 16. Performance & Analytics Get and Use Data We help residents & employees
  17. 17. Get Use ● Discover ● Use ● Access ● Understand ● Ask Intelligent Questions ● Get Correct Answers ● Efficiently make decisions
  18. 18. Get Use ● Open Data ● Data Delivery ● Tooling ● Data Governance / Cataloging ● Data UX ● Visualization and Analysis ● Consulting
  19. 19. Performance & Analytics
  20. 20. Performance & Analytics San Diego Data Oracle SQL Server SAP Excel SAAS Files Geo Humans Access
  21. 21. Performance & Analytics
  22. 22. Performance & Analytics 1. Open Data
  23. 23. Performance & Analytics Data Inventory (2015)
  24. 24. Performance & Analytics data.sandiego.gov (Jul 2016)
  25. 25. Performance & Analytics data.sandiego.gov (2017) 1.4 Terabytes of Data Downloaded as of June 2017
  26. 26. Performance & Analytics
  27. 27. Performance & Analytics One Source of Truth
  28. 28. Performance & Analytics 2. Delivery & Automation
  29. 29. Performance & Analytics streets.sandiego.gov
  30. 30. Performance & Analytics APWA Award (the under $5 Million category)
  31. 31. Performance & Analytics At First
  32. 32. Performance & Analytics And … at first
  33. 33. ● Shifting source of truth (if even findable) ● Nuances hidden in people’s heads ● Time consuming, Irreplicable reporting, repeated Problem:
  34. 34. Performance & Analytics Poseidon
  35. 35. Performance & Analytics Poseidon’s True Nature
  36. 36. Performance & Analytics This
  37. 37. Performance & Analytics To This
  38. 38. 3. [Data] UX
  39. 39. 3. [Data] UX “As a developer / city employee, it should be easy to get started integrating data into my application and I should be highly confident in its stability, timeliness and quality”
  40. 40. 3. [Data] UX
  41. 41. 3. [Data] UX
  42. 42. Vector Tiles
  43. 43. [Data] UX
  44. 44. 3. [Data] UX “As a user, I should be able to find an answer to a question using techniques no more advanced than basic filtering and sorting in Excel”
  45. 45. [Data] UX ● Portal UX ● Enrichment ● Warehousing ● APIs
  46. 46. [Data] UX performance.sandiego.gov
  47. 47. Performance & Analytics [Data] UX streets.sandiego.gov
  48. 48. [Data] UX sandiego.nextrequest.com
  49. 49. [Data] UX budget.sandiego.gov
  50. 50. Performance & Analytics One Source of Truth
  51. 51. 4. Analytics & Viz
  52. 52. Performance & Analytics DSD Analysis
  53. 53. Performance & Analytics Visualizing Risk Claims
  54. 54. Performance & Analytics Parking Utilization
  55. 55. Performance & Analytics How Does a Team 3 People Do This? hint: It’s not because I’m a good manager
  56. 56. Performance & Analytics How Does a Team 3 People Do This? ● Passionate, curious hackers. ● Know where to hack the bureaucracy. ● Work smart, not hard. ● Work like a team that needs to make money. ● Push technology to its limits (strategically). ● Don’t be afraid spend $. But know when not to. ● Help people out. ● Technology as a means to an end, not the end in itself. hint: It’s not because I’m a good manager
  57. 57. Performance & Analytics Why not IT? ● IT keeps the lights on, we know where they are ● Mutual Support + Close Integration ● Different mission ● Different ways of looking at data
  58. 58. Performance & Analytics So What? ● City Data Brokers ● Cost Savings ● Time Savings ● Ecosystem Development ● National and international recognition ● Data Utilization
  59. 59. Performance & Analytics Future Things / Things with no Screenshot ● Library ● VR ● Live Parking Meters ● PlanSD ● Missing Persons ● IOT
  60. 60. Performance & Analytics Thank you! Blog https://data.sandiego.gov/stories Github https://github.com/cityofsandiego https://github.com/MrMaksimize Reports https://www.gitbook.com/@datasd @MrMaksimize | maksimp@sandiego.gov

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