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 / 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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