THIS IS ULTIMATE LABOUR REFORM

Dear Shri Gangwarji :

Congratulations on your appointment as Minister of Labour

No doubt , you would want to focus on Labour Reforms which will help create MORE  JOBS

Among the many suggestions that you will receive , I urge you to consider the following

Should you desire , I can send a few other suggestions

With Regards,

hemen  parekh / Mumbai

www.hemenparekh.in 

hcp@RecruitGuru.com 

( 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  ]

https://myblogepage.blogspot.in/2016/06/from-bad-to-mad.html

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