The document discusses using data to detect anomalies, see the real impact of policies, determine performance factors, and monitor outcomes effectively. It provides examples of analyzing exam grade distributions, subject failure rates, performance differences between genders, and birth month correlations with test scores. Overall, the document advocates embracing data to gain insights, find hidden correlations, compare performance, and drive decisions.

1. INSIGHTS FROM DATA

2. DETECT
ANOMALIES

3. Richard Quinn
Strategic Management, UCF
“The exam was running at a
grade and a half higher than it
had ever run before... You don’t
see that kind of grade
improvement by chance.”
Summer
2010
Mid-term
Fall
2010
Mid-term
“A bimodal distribution exists when an
external force is applied to the dataset
that creates a systematic bias.”

6. SEE THE REAL
IMPACT OF
POLICY

7. ENGLISH
0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100

8. 0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100
SOCIAL SCIENCE

9. 0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100
LANGUAGE

10. 0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100
SCIENCE

11. 0
5,000
10,000
15,000
20,000
25,000
30,000
35,000
40,000
0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100
MATHEMATICS

13. 1 5.5%
2 4.3%
3 2.3%
4 0.9%
5 0.3%
6 0.1%
MATHEMATICS 3.08%
COMMERCE 0.80%
ACCOUNTANCY 0.33%
PHYSICS 0.26%
ECONOMICS 0.21%
HISTORY 0.19%
How many subjects do students fail in?What contributes to single failures?
PHYSICS MATHEMATICS 0.79%
PHYSICS CHEMISTRY 0.77%
CHEMISTRY MATHEMATICS 0.55%
COMMERCE ACCOUNTANCY 0.29%
ENGLISH COMMERCE 0.17%
BIOLOGY MATHEMATICS 0.14%
Two-subject failures

14. WHAT
DETERMINES
PERFORMANCE?

15. Subject Girs higher by Girls Boys
Physics 0 119 119
Chemistry 1 123 122
English 4 130 126
Computers 6 137 131
Biology 6 129 123
Mathematics 11 123 112
Language 11 152 141
Accounting 12 138 126
Commerce 13 127 114
Economics 16 142 126
PERFORMANCE: GIRLS VS BOYS

16. Based on the results of the 20 lakh
students taking the Class XII exams
at Tamil Nadu over the last 3
years, it appears that the month you
were born in can make a difference
of as much as 120 marks out of
1,200.
June borns
score the lowest
The marks shoot
up for Aug borns
… and peaks for
Sep-borns
120 marks out of
1200 explainable
by month of birth
An identical pattern was observed in 2009 and 2010…
… and across districts, gender, subjects, and class X & XII.
“It’s simply that in Canada the eligibility
cutoff for age-class hockey is January 1. A
boy who turns ten on January
2, then, could be playing alongside
someone who doesn’t turn ten until the
end of the year—and at that age, in
preadolescence, a twelve-month gap in
age represents an enormous difference in
physical maturity.”
-- Malcolm Gladwell, Outliers

18. BIG DATA
REQUIRES
RICHER VISUALS

21. MONITORING
EFFECTIVELY

22. MONITORING
EFFECTIVELY

23. Jain
Harini
Shweta
Sneha Pooja
Ashwin
Shah
Deepti
Sanjana
Varshini
Ezhumalai
Venkatesan
Silambarasan
Pandiyan
Kumaresan
Manikandan
Thirupathi
Agarwal
Kumar
Priya

24. FIND HIDDEN
CORRELATIONS

27. COMPARING
PERFORMANCE

37. EMBRACE AND LEARN FROM DATA
USE IT TO DRIVE YOUR DECISIONS