2. “
HUMAN ANALYTICS CANNOT BE
PREDICTED BY DATA ANALYTICS
ACCURATELY.
The author of this article discuss the short comings of
data analytics while measuring emotions and peformance
on a scale.
2
5. WHERE DATA RENDERS USELESS
▪ Metrics can only gauge the
success and performance
of a person in a quantitiave
manner,like salary,working
hours etc
5
6. BUT DOES THAT
REALLY HELP US SEE
THE ENTIRE PICTURE?
Nope. We still miss the human aspect.
6
7. WHERE DATA RENDERS USELESS
▪ Data analytics cannot be
used to make a qualitative
analysis. It misses out on
factors like interpersonal
relations,motivation,work
environment etc
7
8. SO THEN THE QUESTION IS,
HOW DO WE
MEASURE PEOPLE
ANALYTICS?
8
9.
10. WHERE DATA RENDERS USELESS
▪ The best way to predict a person’s
future is by combining data
analytics, to measure efficiency,
productivity and performance, with
feedback and discussions, with the
people who have overseen his
work and ethics
10
12. ▪ India is a developing nation
▪ Yet,the change and
sophistication is new to the
nation
▪ There are several business’
being run on the philosohphy
called:
“JUGAAD”
12
13. ▪ Business in India is characterized
by:
1. Poor work ethic
2. Low accountability
3. Biased networking and
personal contacts
4. High levels of corruption
13
14. Some supporting statistics
1. 38% of land and
property deals in India
involve bribes
▪ The entire nexus of government
officials, politicians, judicial
officers, real estate developers
and law enforcement officials
control the property trade,
wherein they acquire and sell
land illegally and impose heavy
bribes
▪ https://www.scoopwhoop.com/india-most-corrupt-country-
in-asia-statistics/#.c0pimhpxf
2.Bribery rates
▪ India had the highest bribery
rates of all the countries
surveyed for access to public
schools (58%) and healthcare
(59%), suggesting serious
corruption risks when people
try to access these basic
services.
▪ https://www.forbes.com/sites/suparnagoswami/201
7/03/08/study-finds-india-is-asias-most-corrupt-
country-while-japan-comes-in-last/#2a78deb91201
14
15. ▪ In order to tackle issues like these,
managers must
1. verify the past records, success rate etc
using data analytics
2. Gain an insight into the authenticity,
work ethic, company environment from
previous employers
before hiring a team or signing a deal with
a contractor. It is crucial to avoid wastage
of resources or poor investment/business
deals.
15
16. R
E
C
A
P
1. Data analytics should be
used for qualitative study
2. Interpersonal
interaction,feedback,work
ethic,maturity,experience
etc must be verified too to
3. Managers must combine
aspects from both
analysis’ to make a well
informed decision
