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 / one DESIGNATION 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
/ blogs
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