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Analytics 101:
How to not fail at analytics
Daniel Haight
What is Analytics
Difficulty
Why Analytics?
Decision-making 1.0
Decision-making 2.0
Better
Decisions
The Problem
“70 – 80% of analytics projects fail” – Gartner
Group, 2011
Hypothesis:
Failure is lack of adoption.
Lack of adoption comes from misunderstanding
roles.
The Data
Steward
The Analytic
Explorer
The
Information
Artist
The
Automator
The Champion
Data
Steward
Analytic
Explorer
Information
Artist Automator
Champion
Data
Steward
Analytic
Explorer
Information
Artist Automator
Champion
Data
Scientist
Some observations…
Typical structure
Misaligned structure
IT
Outsourcing roles to software
Slotting staff in the wrong role
Even with the right team and
structure, success is not
guaranteed
The analytic process
Data
Steward
Analytic
Explorer
Information
Artist Automator
Idea
generation
Data
preparation
Explorat...
The analytic process
Data
Steward
Analytic
Explorer
Information
Artist Automator
Idea
generation
Data
preparation
Explorat...
Education Analytics
Student
forecasting
Teacher
Forecasting
Training
Teacher skills
allocation
Capacity planning
Student a...
Education Analytics
Student
forecasting
Teacher
Forecasting
Training
Teacher skills
allocation
Capacity planning
Student a...
Data
Steward
Analytic
Explorer
Information
Artist Automator
Idea
generation
Data
preparation
Exploration
Design
Tool
devel...
Is it accurate?
Data
Steward
Analytic
Explorer
Information
Artist Automator
Idea generation/
refinement
Data
preparation
Exploration
Desig...
Is it clear?
Decision-making 3.0
Why doesn’t this
happen?
= /
+=
Age
Staff
Calculate
Staff
Attrition
Initial
Teachers
Initial
Population
Age
Population
Calculate
Migration
& Births
Compar...
Cohort Component Model
X
Initial Population
050001000015000200002500030000
0
5
10
15
20
25
30
35
40
45
50
0 5000 10000 15000 20000 25000 30000
0
5
...
Age the Population
050001000015000200002500030000
0
5
10
15
20
25
30
35
40
45
50
0 5000 10000 15000 20000 25000 30000
0
5
...
Age the Population
050001000015000200002500030000
0
5
10
15
20
25
30
35
40
45
50
0 5000 10000 15000 20000 25000 30000
0
5
...
Add/Subtract Net-Migration
-20
-10
0
10
20
30
40
50
60
70
0
5
10
15
20
25
30
35
40
45
50
050001000015000200002500030000
0
...
Add/Subtract Net-Migration
-20
-10
0
10
20
30
40
50
60
70
0
5
10
15
20
25
30
35
40
45
50
050001000015000200002500030000
0
...
Add/Subtract Net-Migration
-20
-10
0
10
20
30
40
50
60
70
0
5
10
15
20
25
30
35
40
45
50
050001000015000200002500030000
0
...
Add/Subtract Net-Migration
050001000015000200002500030000
0
5
10
15
20
25
30
35
40
45
50
0 5000 10000 15000 20000 25000 30...
Add/Subtract Net-Migration
050001000015000200002500030000
0
5
10
15
20
25
30
35
40
45
50
0 5000 10000 15000 20000 25000 30...
Make Babies Using Fertility
050001000015000200002500030000
0
5
10
15
20
25
30
35
40
45
50
0 5000 10000 15000 20000 25000 3...
Make Babies Using Fertility
050001000015000200002500030000
0
5
10
15
20
25
30
35
40
45
50
0 5000 10000 15000 20000 25000 3...
Focus on Student Ages
050001000015000200002500030000
0
5
10
15
20
25
30
35
40
45
50
0 5000 10000 15000 20000 25000 30000
0...
Focus on Student Ages
050001000015000200002500030000
0
5
10
15
20
0 5000 10000 15000 20000 25000 30000
0
5
10
15
20
Focus on Student Ages
050001000015000200002500030000
0
5
10
15
20
0 5000 10000 15000 20000 25000 30000
0
5
10
15
20
Estimate Participation
0%
20...
050001000015000200002500030000
0
5
10
15
20
0 5000 10000 15000 20000 25000 30000
0
5
10
15
20
Estimate Participation
0%
20...
050001000015000200002500030000
0
5
10
15
20
0 5000 10000 15000 20000 25000 30000
0
5
10
15
20
Estimate Participation
X
050001000015000200002500030000
0
5
10
15
20
0 5000 10000 15000 20000 25000 30000
0
5
10
15
20
Apply Participation
050001000015000200002500030000
0
5
10
15
20
0 5000 10000 15000 20000 25000 30000
0
5
10
15
20
Apply Participation
Student ...
Age
Staff
Calculate
Staff
Attrition
Initial
Teachers
Initial
Population
Age
Population
Calculate
Migration
& Births
Compar...
Teacher Workforce
0200400600800
20
25
30
35
40
45
50
55
60
65
70
75
0 200 400 600 800
20
25
30
35
40
45
50
55
60
65
70
75
Age Workforce
0200400600800
20
25
30
35
40
45
50
55
60
65
70
75
0 200 400 600 800
20
25
30
35
40
45
50
55
60
65
70
75
Apply Attrition
0200400600800
20
25
30
35
40
45
50
55
60
65
70
75
0 200 400 600 800
20
25
30
35
40
45
50
55
60
65
70
75
0%...
Apply Attrition
0200400600800
20
25
30
35
40
45
50
55
60
65
70
75
0 200 400 600 800
20
25
30
35
40
45
50
55
60
65
70
75
0%...
Apply Attrition
0200400600800
20
25
30
35
40
45
50
55
60
65
70
75
0 200 400 600 800
20
25
30
35
40
45
50
55
60
65
70
75
X
Apply Attrition
0200400600800
20
25
30
35
40
45
50
55
60
65
70
75
0 200 400 600 800
20
25
30
35
40
45
50
55
60
65
70
75
Remaining Staff
0200400600800
20
25
30
35
40
45
50
55
60
65
70
75
0 200 400 600 800
20
25
30
35
40
45
50
55
60
65
70
75
Re...
Age
Staff
Calculate
Staff
Attrition
Initial
Teachers
Initial
Population
Age
Population
Calculate
Migration
& Births
Compar...
Determine Hires
0200400600800
20
25
30
35
40
45
50
55
60
65
70
75
0 200 400 600 800
20
25
30
35
40
45
50
55
60
65
70
75
Re...
Calculate Hires with
Student to Staff Ratio
0200400600800
20
25
30
35
40
45
50
55
60
65
70
75
0 200 400 600 800
20
25
30
3...
Estimate Hire Ages
0200400600800
20
25
30
35
40
45
50
55
60
65
70
75
0 200 400 600 800
20
25
30
35
40
45
50
55
60
65
70
75...
Estimate Hire Ages
0200400600800
20
25
30
35
40
45
50
55
60
65
70
75
0 200 400 600 800
20
25
30
35
40
45
50
55
60
65
70
75...
Repeat
Is it timely?
Is it
responsive?
Estimated Time Remaining:
Still Calculating
Is it
interactive?
Does it
engage?
***
Analytics 101: How to not fail at analytics
Analytics 101: How to not fail at analytics
Analytics 101: How to not fail at analytics
Analytics 101: How to not fail at analytics
Analytics 101: How to not fail at analytics
Analytics 101: How to not fail at analytics
Analytics 101: How to not fail at analytics
Analytics 101: How to not fail at analytics
Analytics 101: How to not fail at analytics
Analytics 101: How to not fail at analytics
Analytics 101: How to not fail at analytics
Analytics 101: How to not fail at analytics
Analytics 101: How to not fail at analytics
Analytics 101: How to not fail at analytics
Analytics 101: How to not fail at analytics
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Analytics 101: How to not fail at analytics

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"Data Scientist" is perhaps the hottest job title of recent years. But what is a data scientist? What does a data scientist actually do? And where can they be found? In this talk, presenter Daniel Haight describes the benefits of analytics to decision-making, and explores the characteristics of successful organizations that have fostered their own team of data scientists.

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Analytics 101: How to not fail at analytics

  1. 1. Analytics 101: How to not fail at analytics Daniel Haight
  2. 2. What is Analytics Difficulty
  3. 3. Why Analytics?
  4. 4. Decision-making 1.0
  5. 5. Decision-making 2.0
  6. 6. Better Decisions
  7. 7. The Problem “70 – 80% of analytics projects fail” – Gartner Group, 2011
  8. 8. Hypothesis: Failure is lack of adoption. Lack of adoption comes from misunderstanding roles.
  9. 9. The Data Steward
  10. 10. The Analytic Explorer
  11. 11. The Information Artist
  12. 12. The Automator
  13. 13. The Champion
  14. 14. Data Steward Analytic Explorer Information Artist Automator Champion
  15. 15. Data Steward Analytic Explorer Information Artist Automator Champion Data Scientist
  16. 16. Some observations…
  17. 17. Typical structure
  18. 18. Misaligned structure IT
  19. 19. Outsourcing roles to software
  20. 20. Slotting staff in the wrong role
  21. 21. Even with the right team and structure, success is not guaranteed
  22. 22. The analytic process Data Steward Analytic Explorer Information Artist Automator Idea generation Data preparation Exploration Design Tool development
  23. 23. The analytic process Data Steward Analytic Explorer Information Artist Automator Idea generation Data preparation Exploration Design Tool development
  24. 24. Education Analytics Student forecasting Teacher Forecasting Training Teacher skills allocation Capacity planning Student attrition analysis School security Funding allocation Teacher attrition analysis
  25. 25. Education Analytics Student forecasting Teacher Forecasting Training Teacher skills allocation Capacity planning Student attrition analysis School security Funding allocation Teacher attrition analysis
  26. 26. Data Steward Analytic Explorer Information Artist Automator Idea generation Data preparation Exploration Design Tool development
  27. 27. Is it accurate?
  28. 28. Data Steward Analytic Explorer Information Artist Automator Idea generation/ refinement Data preparation Exploration Design Tool development
  29. 29. Is it clear?
  30. 30. Decision-making 3.0
  31. 31. Why doesn’t this happen?
  32. 32. = / +=
  33. 33. Age Staff Calculate Staff Attrition Initial Teachers Initial Population Age Population Calculate Migration & Births Compare Staff and Students Hire New Staff Calculate Student Participation
  34. 34. Cohort Component Model X
  35. 35. Initial Population 050001000015000200002500030000 0 5 10 15 20 25 30 35 40 45 50 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 25 30 35 40 45 50
  36. 36. Age the Population 050001000015000200002500030000 0 5 10 15 20 25 30 35 40 45 50 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 25 30 35 40 45 50
  37. 37. Age the Population 050001000015000200002500030000 0 5 10 15 20 25 30 35 40 45 50 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 25 30 35 40 45 50
  38. 38. Add/Subtract Net-Migration -20 -10 0 10 20 30 40 50 60 70 0 5 10 15 20 25 30 35 40 45 50 050001000015000200002500030000 0 5 10 15 20 25 30 35 40 45 50 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 25 30 35 40 45 50
  39. 39. Add/Subtract Net-Migration -20 -10 0 10 20 30 40 50 60 70 0 5 10 15 20 25 30 35 40 45 50 050001000015000200002500030000 0 5 10 15 20 25 30 35 40 45 50 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 25 30 35 40 45 50
  40. 40. Add/Subtract Net-Migration -20 -10 0 10 20 30 40 50 60 70 0 5 10 15 20 25 30 35 40 45 50 050001000015000200002500030000 0 5 10 15 20 25 30 35 40 45 50 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 25 30 35 40 45 50
  41. 41. Add/Subtract Net-Migration 050001000015000200002500030000 0 5 10 15 20 25 30 35 40 45 50 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 25 30 35 40 45 50
  42. 42. Add/Subtract Net-Migration 050001000015000200002500030000 0 5 10 15 20 25 30 35 40 45 50 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 25 30 35 40 45 50
  43. 43. Make Babies Using Fertility 050001000015000200002500030000 0 5 10 15 20 25 30 35 40 45 50 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 25 30 35 40 45 50 0% 2% 4% 6% 8% 10% 12% 14% 0 5 10 15 20 25 30 35 40 45 50 X
  44. 44. Make Babies Using Fertility 050001000015000200002500030000 0 5 10 15 20 25 30 35 40 45 50 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 25 30 35 40 45 50 X
  45. 45. Focus on Student Ages 050001000015000200002500030000 0 5 10 15 20 25 30 35 40 45 50 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 25 30 35 40 45 50 Schoo l Aged
  46. 46. Focus on Student Ages
  47. 47. 050001000015000200002500030000 0 5 10 15 20 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 Focus on Student Ages
  48. 48. 050001000015000200002500030000 0 5 10 15 20 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 Estimate Participation 0% 20% 40% 60% 80% 100% 0 2 4 6 8 10 12 14 16 18 20
  49. 49. 050001000015000200002500030000 0 5 10 15 20 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 Estimate Participation 0% 20% 40% 60% 80% 100% 0 2 4 6 8 10 12 14 16 18 20
  50. 50. 050001000015000200002500030000 0 5 10 15 20 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 Estimate Participation X
  51. 51. 050001000015000200002500030000 0 5 10 15 20 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 Apply Participation
  52. 52. 050001000015000200002500030000 0 5 10 15 20 0 5000 10000 15000 20000 25000 30000 0 5 10 15 20 Apply Participation Student Count
  53. 53. Age Staff Calculate Staff Attrition Initial Teachers Initial Population Age Population Calculate Migration & Births Compare Staff and Students Hire New Staff Calculate Student Participation
  54. 54. Teacher Workforce 0200400600800 20 25 30 35 40 45 50 55 60 65 70 75 0 200 400 600 800 20 25 30 35 40 45 50 55 60 65 70 75
  55. 55. Age Workforce 0200400600800 20 25 30 35 40 45 50 55 60 65 70 75 0 200 400 600 800 20 25 30 35 40 45 50 55 60 65 70 75
  56. 56. Apply Attrition 0200400600800 20 25 30 35 40 45 50 55 60 65 70 75 0 200 400 600 800 20 25 30 35 40 45 50 55 60 65 70 75 0% 10% 20% 30% 40% 50% 20 25 30 35 40 45 50 55 60 65 70
  57. 57. Apply Attrition 0200400600800 20 25 30 35 40 45 50 55 60 65 70 75 0 200 400 600 800 20 25 30 35 40 45 50 55 60 65 70 75 0% 10% 20% 30% 40% 50% 20 25 30 35 40 45 50 55 60 65 70
  58. 58. Apply Attrition 0200400600800 20 25 30 35 40 45 50 55 60 65 70 75 0 200 400 600 800 20 25 30 35 40 45 50 55 60 65 70 75 X
  59. 59. Apply Attrition 0200400600800 20 25 30 35 40 45 50 55 60 65 70 75 0 200 400 600 800 20 25 30 35 40 45 50 55 60 65 70 75
  60. 60. Remaining Staff 0200400600800 20 25 30 35 40 45 50 55 60 65 70 75 0 200 400 600 800 20 25 30 35 40 45 50 55 60 65 70 75 Remaining St
  61. 61. Age Staff Calculate Staff Attrition Initial Teachers Initial Population Age Population Calculate Migration & Births Compare Staff and Students Hire New Staff Calculate Student Participation
  62. 62. Determine Hires 0200400600800 20 25 30 35 40 45 50 55 60 65 70 75 0 200 400 600 800 20 25 30 35 40 45 50 55 60 65 70 75 Remaining St
  63. 63. Calculate Hires with Student to Staff Ratio 0200400600800 20 25 30 35 40 45 50 55 60 65 70 75 0 200 400 600 800 20 25 30 35 40 45 50 55 60 65 70 75 0100002000030000 0 5 10 15 20 0 10000 20000 30000 0 5 10 15 20 Remaining StaffStudent Count/ Student to Staff Ratio = Required Staff Total – = Required Hires
  64. 64. Estimate Hire Ages 0200400600800 20 25 30 35 40 45 50 55 60 65 70 75 0 200 400 600 800 20 25 30 35 40 45 50 55 60 65 70 75 Required Hires 0% 1% 2% 3% 4% 5% 20 25 30 35 40 45 50 55 60 65 70 75 X
  65. 65. Estimate Hire Ages 0200400600800 20 25 30 35 40 45 50 55 60 65 70 75 0 200 400 600 800 20 25 30 35 40 45 50 55 60 65 70 75 0% 1% 2% 3% 4% 5% 20 25 30 35 40 45 50 55 60 65 70 75 X Required Hires
  66. 66. Repeat
  67. 67. Is it timely?
  68. 68. Is it responsive? Estimated Time Remaining: Still Calculating
  69. 69. Is it interactive?
  70. 70. Does it engage?
  71. 71. ***

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