Dear Madam
Kamineni :
I urge you to
spare a few minutes of your time to go through the following
With Regards,
hemen
parekh
(
M ) +91 - 98,67,55,08,08
===================
Aadhar - for HR ?
Aadhar = Aggregate
Anonymous Data Harvesting about Recruitment
Even
as debate on Data Privacy is raging and B N Srikrishna Committee is debating
the PROS and CONS of Privacy vs Publicity ( of data ) , there is a general
consensus that aggregating anonymized data for the purpose of GREATER GOOD of
the Society , should be permitted
I
want to go one step further and say :
Such
gathering and using of Anonymized data should be Encouraged / Solicited /
Mandated , for policy and strategy formulation
Here
is a glimpse of what I have in my mind
I
worked in a large engineering company for over 30 years .
So
did many of my colleagues , all of us starting as JUNIOR supervisors and
retiring as GENERAL MANAGERS, after serving for 20 / 30 / 40 years
This
was between 1950s and 1990s
How
did we fare when it came to the “ Salary
Increments “ that we received ,
· to compensate us for neutralizing the rising “ Cost of Living “ ?
· to improve our “ Standard
of Living “ ?
Look
at the following ( ANONYMIZED ) data about Salary Growth ( Rs per
month ) :
Name / Start / End /
Diff / Years of Service / Growth/month( ave ) / Joining Year
A
/ Rs 2500 / Rs
19,250 / Rs 16,750 / 24 / Rs
698 / 1972
=======================================================
B
/ 350 /
17,700 / 17,350
/ 39 /
445 / 1956
C
/ 3,000 / 13, 270
/ 10,270 / 18
/ 570
/ 1977
D
/ 1,600 / 16,900
/ 15,300 / 23
/ 665 /
1971
E
/ 2,700 /
10,300 / 7,600 /
21 / 362
/ 1971
F
/ 135 /
7,700 / 7,565 /
43 /
176 /
1948
G
/ 625 / 9,985
/ 9,360 /
31 /
302 /
1959
H
/ 2,500 /
6,000 / 3,500 / 17
/ 206
/ 1972
J
/ 1,400 / 7,500 /
6,100 / 23
/ 265
/ 1965
Do
you see the “ limitations “ of
the above “ analysis “ ?
It
pertained to just one COMPANY / one INDUSTRY / one CITY / one EDU LEVEL / oneDESIGNATION LEVEL / nine EMPLOYEES
Can
you guess what “ Insights “ such “ Data Analytics “ could yield if it was for :
· A million Companies , operating in
· 100 different Industries , and located in
· 5,000 Cities , covering
· 100 million Employees , having
· 500 different Edu Qualifications , and having
· 1000 different Titles / Designations
Also
remember that the above-tabulated analysis was carried out by :
· one retired employee ( possessing limited natural intelligence ) ,
· after
a lapse of 30 years and ,
· taking
a few hours of data-digging / tabulating ?
·
Can
you guess if such analysis were to be carried out ,
· INSTANTANEOUSLY
· DYNAMICALLY
· AUTOMATICALLY ( without human intervention ) , and by
· ARTIFICIAL INTELLIGENCE ( AI
) ,
Then
what kind of POLICY INPUTS that could provide ?
To
know ,
· Aadhar
( Aggregate Anonymous
Data Harvesting about Recruitment )
· How it can be implemented ,
Read
:
From BAD to MAD [
01 June 2016 ]
I
hope the new Minister of Labour ( about to be sworn in ) will find time to read
this
03
Sept 2017
www.hemenparekh.in /
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