The document discusses the challenges and failures associated with analytics projects, highlighting that 70-80% fail primarily due to lack of adoption stemming from role misunderstandings. It outlines the necessary roles in the analytic process, such as data steward and analytic explorer, and emphasizes the importance of clear decision-making and appropriate team structures for successful analytics outcomes. Additionally, it touches on specific applications of analytics in education, including staff attrition and student forecasting.

1. Analytics 101:
How to not fail at analytics
Daniel Haight

3. What is Analytics
Difficulty

4. Why Analytics?

5. Decision-making 1.0

6. Decision-making 2.0

7. Better
Decisions

8. The Problem
“70 – 80% of analytics projects fail” – Gartner
Group, 2011

9. Hypothesis:
Failure is lack of adoption.
Lack of adoption comes from misunderstanding
roles.

10. The Data
Steward

11. The Analytic
Explorer

12. The
Information
Artist

13. The
Automator

14. The Champion

15. Data
Steward
Analytic
Explorer
Information
Artist Automator
Champion

16. Data
Steward
Analytic
Explorer
Information
Artist Automator
Champion
Data
Scientist

18. Some observations…

19. Typical structure

20. Misaligned structure
IT

21. Outsourcing roles to software

22. Slotting staff in the wrong role

23. Even with the right team and
structure, success is not
guaranteed

24. The analytic process
Data
Steward
Analytic
Explorer
Information
Artist Automator
Idea
generation
Data
preparation
Exploration
Design
Tool
development

25. The analytic process
Data
Steward
Analytic
Explorer
Information
Artist Automator
Idea
generation
Data
preparation
Exploration
Design
Tool
development

26. Education Analytics
Student
forecasting
Teacher
Forecasting
Training
Teacher skills
allocation
Capacity planning
Student attrition analysis
School
security
Funding allocation
Teacher
attrition
analysis

27. Education Analytics
Student
forecasting
Teacher
Forecasting
Training
Teacher skills
allocation
Capacity planning
Student attrition analysis
School
security
Funding allocation
Teacher
attrition
analysis

28. Data
Steward
Analytic
Explorer
Information
Artist Automator
Idea
generation
Data
preparation
Exploration
Design
Tool
development

29. Is it accurate?

30. Data
Steward
Analytic
Explorer
Information
Artist Automator
Idea generation/
refinement
Data
preparation
Exploration
Design Tool
development

31. Is it clear?

32. Decision-making 3.0

34. Why doesn’t this
happen?

47. = /
+=

48. Age
Staff
Calculate
Staff
Attrition
Initial
Teachers
Initial
Population
Age
Population
Calculate
Migration
& Births
Compare
Staff and Students
Hire New
Staff
Calculate
Student
Participation

49. Cohort Component Model
X

50. 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

51. 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

52. 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

53. 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

54. 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

55. 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

56. 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

57. 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

58. 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

59. 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

60. 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

61. Focus on Student Ages

62. 050001000015000200002500030000
0
5
10
15
20
0 5000 10000 15000 20000 25000 30000
0
5
10
15
20
Focus on Student Ages

63. 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

64. 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

65. 050001000015000200002500030000
0
5
10
15
20
0 5000 10000 15000 20000 25000 30000
0
5
10
15
20
Estimate Participation
X

66. 050001000015000200002500030000
0
5
10
15
20
0 5000 10000 15000 20000 25000 30000
0
5
10
15
20
Apply Participation

67. 050001000015000200002500030000
0
5
10
15
20
0 5000 10000 15000 20000 25000 30000
0
5
10
15
20
Apply Participation
Student Count

68. Age
Staff
Calculate
Staff
Attrition
Initial
Teachers
Initial
Population
Age
Population
Calculate
Migration
& Births
Compare
Staff and Students
Hire New
Staff
Calculate
Student
Participation

69. 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

70. 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

71. 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

72. 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

73. 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

74. 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

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
Remaining St

76. Age
Staff
Calculate
Staff
Attrition
Initial
Teachers
Initial
Population
Age
Population
Calculate
Migration
& Births
Compare
Staff and Students
Hire New
Staff
Calculate
Student
Participation

77. 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

78. 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

79. 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

80. 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

81. Repeat

82. Is it timely?

83. Is it
responsive?
Estimated Time Remaining:
Still Calculating

84. Is it
interactive?

85. Does it
engage?

86. ***