Tomorrow's
Headlines Today ?
Take
a look at the following news headlines :
#
64 million jobs created in China
( Business Line / 29 Dec 2015 )
#
Employers may get some sops for creating extra jobs
( Economic Times / 05 Feb 2016 )
#
23 % Indians aged 20-24 seeking jobs
( Times of India / 23 Dec 2015 )
#
27mill SSC-pass non-grads seek employment
( Times of India / 23 Dec 2015 )
#
Jobs grew 4.4 % / wages 14 % in 2013-14
( Business Line / 11 Feb 2016 )
#
Labour Ministry to restructure job survey , include service
sector data ( Mint / 10 Feb 2016 )
#
India's Job Crisis : Here's a plan for creating 50 million quality
jobs in the next decade : Romesh Wadhwani
( Times of India / 09 Feb 2016 )
#
With focus on Mfg, Labour Min Pitches for Jobs Survey Recast
( Economic Times / 21 April 2016 )
#
The Jobs Discourse : Ajit Ranade
( Mint / 20 April 2016 )
#
Job growth down to 7 year low in 2015 : Labour Bureau
( Business Line / 16 April 2016 )
#
No country for freshers
( Economic Times / 28 March 2016 )
Now
, can you predict what will be the newspaper headlines , when it comes to the
matter of " JOBS " , 2 / 3 / 5 years from now ?
There
are two methods , as follows :
*
Reproduce the above headlines by simply changing the year
(
in the " date " ) to 2018 / 2019 / 2021
You
will not be too far off !
*
But if you are a " Data Scientist " , you may want to borrow from me a
database of 2+ million job advertisements compiled from leading job
portals over the past 8 years ( and covering job advertisements released by
50,000 + employers ) , and subject this data-set to BIG DATA analytics , to
predict :
#
WHO ( which company ) , will advertise
#
WHAT ( vacancy name ) , and
#
WHEN ( almost , to a day ), for posting in
#
WHICH ( city ) , and needing
#
WHAT ( Skills / Edu Qualifications ) , offering
#
HOW MUCH ( salary )
You
will be doing a great service to not only the Jobseekers but also to Policy
Makers / Educationists / Economists / NITI Aayog / HR managers / Trade
Associations / Industrialists etc
If
, based on search-terms used by billions of surfers every day , Google
can accurately predict an outbreak of flue in any part of the world , then ,
surely Indian software geeks can predict jobs !
I am surprised why Naukri / MonsterIndia / TimesJobs etc are not
publishing such job related analytics on their web sites in a dynamically
changing fashion , given their enormous databases
They , have even captured , BILLIONS of search queries by :
* Jobseekers searching jobs , and
* Employers searching resumes
These portals are , literally , in possession of ( what John
Battelle - author of book " Google " may have said ) , "
Database of Intentions " !
-------------------------------------------------------------------------
www.hemenparekh.in / blogs
03
May 2016
hemen
parekh
Marol
, Mumbai , India
(
M ) +91 - 98,67,55,08,08
No comments:
Post a Comment