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Kit Collingwood, Human Centred Data Transformation ThoughtWorks Live UK 18

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Kit Collingwood is the Deputy Director of Data at Department for Work and Pensions. In this presentation, she talks about human centred data transformation and how she has driven a data led decision making model in public sector, key learnings and philosophy on how to evolve a data guided organisation. This presentation was made at ThoughtWorks Live UK, held on 3rd October 2018 in London.

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Kit Collingwood, Human Centred Data Transformation ThoughtWorks Live UK 18

  1. 1. KIT COLLINGWOOD Deputy Director - Data, Department for Work and Pensions HUMAN-CENTRED DATA TRANSFORMATION
  2. 2. medium/kitcollingwood @kitterati
  3. 3. human-centred data transformation
  4. 4. human-centred data transformation focused on user need, not business need
  5. 5. human-centred data transformation focused on user need, not business need anything you know (or could know) about your users, staff or services
  6. 6. human-centred data transformation focused on user need, not business need anything you know (or could know) about your users, staff or services doing fundamentally different things to the ones you did before
  7. 7. ‘Data infrastructure is becoming part of our critical national infrastructure; [it is] as important as our road, railway and energy networks and should be treated as such’ Open Data Institute report, December 2017
  8. 8. 78,000 people 20musers £6.5bnrunning cost £177bnpaid in benefits Department for Work & Pensions
  9. 9. BUILD & RUN What we do CONSULT & HELP SHARE & PUBLISH
  10. 10. SOLVE WHOLE PROBLEMS
  11. 11. Data will not solve your business problems
  12. 12. Data will not solve your business problems Only people can
  13. 13. We want to use data to make better decisions, make services more effective and improve outcomes
  14. 14. We want to use data to make better decisions, make services more effective and improve outcomes
  15. 15. POORLY STRUCTURED DATA
  16. 16. POORLY STRUCTURED DATA BADLY DESIGNED SYSTEMS
  17. 17. POORLY STRUCTURED DATA BADLY DESIGNED SYSTEMS DEFUNCT PROCESSES
  18. 18. POORLY STRUCTURED DATA BADLY DESIGNED SYSTEMS DEFUNCT PROCESSES UNHAPPY PEOPLE
  19. 19. POORLY STRUCTURED DATA BADLY DESIGNED SYSTEMS DEFUNCT PROCESSES UNHAPPY PEOPLE HERE COME THE ROBOTS!
  20. 20. POORLY STRUCTURED DATA BADLY DESIGNED SYSTEMS DEFUNCT PROCESSES ROBOTS!
  21. 21. “the intelligence may be artificial but the stupidity is very real.”
  22. 22. START WITH USERS
  23. 23. Users Decision makers Wranglers Generators BENEFIT CLAIMANTS PENSIONERS SEPARATED FAMILIES POLICY OPERATIONS FINANCE DATA SCIENTISTS ANALYSTS DEVELOPERS PRODUCT TEAMS
  24. 24. Simpler, better services Insights, consultation Tools, platforms, data Guidance, standards, access
  25. 25. TREAT DATA LIKE WATER
  26. 26. Collect it efficiently
  27. 27. Collect it efficiently Store it safely
  28. 28. Collect it efficiently Store it safely Clean it
  29. 29. Collect it efficiently Build the infrastructure Store it safely Clean it
  30. 30. Collect it efficiently Build the infrastructure Store it safely Clean it Build access points
  31. 31. Collect it efficiently Build the infrastructure Store it safely Clean it Build access points Drink!
  32. 32. GET THE SKILLS
  33. 33. EXTERNAL suppliers contractors INTERNAL month 1 6 12 18 24 30 36
  34. 34. PROJECT MANAGER DELIVERY MANAGER SOFTWARE DEVELOPER TECHNICAL ARCHITECT ANALYST USER EXPERIENCE DATA DESIGNER DATA ENGINEER DATA SCIENTIST DATA ARCHITECT
  35. 35. SERVICE DESIGN USER RESEARCH AGILE ANALYTICS INSIGHT UX CLOUD TECHNOLOGY DEVOPS CULTURE DATA TECHDIGITAL
  36. 36. OPERATIONS LEGAL POLICY STRATEGY TECH SERVICE DESIGN DATA
  37. 37. FOCUS ON OUTCOMES
  38. 38. USER
  39. 39. OUTCOMEUSER
  40. 40. METRICSOUTCOMEUSER
  41. 41. INSIGHTMETRICSOUTCOMEUSER
  42. 42. IMPROVEINSIGHTMETRICSOUTCOMEUSER
  43. 43. PREDICTIMPROVEINSIGHTMETRICSOUTCOMEUSER
  44. 44. LEAD WITH INTEGRITY
  45. 45. STRATEGY
  46. 46. STRATEGY ARCHITECTURE
  47. 47. STRATEGY ARCHITECTURE PATTERNS PROGRAMS
  48. 48. STRATEGY ARCHITECTURE PATTERNS PROGRAMS 1 2 3
  49. 49. STRATEGY ARCHITECTURE PATTERNS PROGRAMS 1 2 3
  50. 50. STRATEGY ARCHITECTURE PATTERNS PROGRAMS 1 2 3 TESTED UNTESTED
  51. 51. 2 31
  52. 52. PLATFORMS ARCHITECTURE 2 31
  53. 53. STRATEGY PLATFORMS ARCHITECTURE 2 31
  54. 54. Is this breaking the law? Is there risk of data loss or breach? Should we do this?
  55. 55. IN SUMMARY SOLVE WHOLE PROBLEMS CHASE OUTCOMES, NOT TECHNOLOGY GET THE SKILLS LEAD WITH INTEGRITY START WITH PEOPLE
  56. 56. THANK YOU @kitterati

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