GIVE AND TAKE
Dear
Shri Modiji :
It
was statesman like for you to reach out to Congress leaders last evening , in
order to reach an agreement on GST
All
negotiations have two , initially opposing , parties
No
agreement can be arrived at , on the " Terms " of only one of the
parties
A
customer sold against his will , ceases to be a customer !
Agreements
imposed through numerical strength of membership , are bound to get sabotaged
To
arrive at a " Lasting Solution " ,
there must be give and take
Here
is my suggestion :
NDA GIVE :
*
Accept a cap of 18 % for GST in the Constitutional Amendment Bill
NDA TAKE :
*
A provision in Bill to enable the Government of the day , to raise the GST % in
subsequent years , through an enabling provision
This provision ( not mandatory ) , will allow the Government to raise the GST %
through the Annual Central Budget each year
( anyway , Union Budget has to be passed in Lok Sabha , each year )
*
The amount by which GST " may " get raised , to be calculated as
follows :
# Starting GST % = 18 %
# Assume that , in 2016-17 , CPI rises by 10 %
# Take 5 % of that 10 % rise in CPI
. That works out to 0.5 %
# So , in 2017-18 , GST may be raised by 0.5 % , to
become 18.5 %
# This is the UPPER LIMIT
. Government may choose to revise GST to any
figure less than 18.5 %
This
is a perfect FACE SAVING FORMULA
Carpe
Diem ! Cease this moment to strike a deal by today evening !
Good
Luck !
---------------------------------------------------------------------------------------------
hemen
parekh
28
Nov 2015
B2BmessageBlaster
SELF CERTIFICATION FOR BUILDERS ?
In
Hindustan Times ( Oct 29 ) , Moushumi Das Gupta writes :
Govt to streamline rules for Construction Projects
Currently
, a builder requires as many as 34 kinds of permits from two dozen Ministries,
before starting construction
This
process takes up to 3 years
Now,
Central Govt has initiated a process to streamline the approvals required to
ensure that builders get all the construction permits within 60 days
Eg:
*
Built up Area............. Environment Ministry
*
Height Restriction...... .Civil Aviation Ministry
Cabinet
Secretary has directed all the Ministries to come out with notifications by end
Dec 2015
The
Centre has decided to empower Municipalities to grant all construction related
approvals , based on these notifications
One
would be able to get all approvals from under one roof , which in this case ,
would be the Municipal Corporation's office
Although
a very laudable initiative , I believe there is tremendous scope to further
streamline and digitize this approval process, in the nature of
E-Delivery of Services to Construction Industry
Here
is how :
*
All builders / developers must register on Municipal Web sites and obtain
unique BUILDER REGISTRATION NUMBER
*
Builders must fill in online, on web site of concerned Municipality, a form :
BUILDING PERMIT APPLICATION
*
Building Permit Application Form will have a STANDARD FORMAT , into
which applicant will need to submit exhaustive details re the project
This will include detailed Floor Plans and Structural Drawings , along with
names / contact details of Architects / Structural Engineers etc
The FORM will require slab-casting dates for each slab and the final
completion date when builder will apply for Occupation Certificate
*
The Form will have a section called
SELF CERTIFICATION
/ DECLARATION
Builder would be required to tick YES / NO against each item as shown :
Does your proposed Building / Structure / Project , satisfy the
criteria /
notifications / regulations , issued by the concerned Ministries in respect
of :
# Built-up Area........... ( YES ) / ( NO )
# Height Restriction
# Fire Fighting
# Water Harvesting
# Roof-top Solar Power
# Effluent Treatment
# Garbage Disposal
# Earthquake Resistant Structural Design..............etc
Clicking
on each item will reveal the relevant " Notification / Regulation "
issued by the concerned Ministry
To
make the process absolutely fool-proof , the form will insist on an "
Electronic Signature " of the applicant
DECLARATION / UNDERTAKING :
"
I declare that I have read each and every notification / regulation , listed
in respect of items mentioned above
I
further declare that I explicitly agree to abide by these regulations
I
am aware that Occupation Certificate will not be granted if my completed
project is found to be in violation of any of these notifications / regulations
I
will not allow any person / entity to occupy any part of this premises , until
and unless , Municipality issues to me , the Occupation Certificate
If
Municipality finds any violations , I agree to rectify the same before applying
for a fresh Occupation Certificate
If
Municipality is not in a position to issue Occupation Certificate due to any
violations
which simply cannot be rectified , then I will demolish the said building /
project / structure on my own and before such demolition , refund with
interest , payments collected from the buyers
The
plot of land is free from any encumbrances / litigation
I
am not in default of any loans taken from any bank / individuals
I
will not accept any payment in cash , nor make cash payments
I
absolve the Municipal Corporation of any liability arising out of non
completion of my project
I agree that my Building Permit Application and my
Registration Application details , be made accessible to public on your web
site , along with full details of my past / current projects and full details
of my balance sheet / bank borrowings "
GRANT OF APPROVALS BY MINISTRIES :
As soon as the builder submits the online BUILDING PERMIT
APPLICATION , it automatically and instantly , appears on the web sites of ALL
the concerned Ministries
The concerned officer of each Ministry , makes APPROVED /
REJECTED entries in the application form , from the backend
If rejected , he will provide the reasons
Ministry officers are required to carry out this entry , within
24 hours
As soon as an officer of any Ministry makes entry and SUBMITS ,
the application forms on web sites of ALL Ministries and web site of the
concerned Municipality , get updated simultaneously and instantly , making for
MIRROR IMAGES at all times
As soon as any entry is made , a copy gets emailed to the
applicant builder
Any " editing " of the application form by the builder
, will start the entire process , all over
Applicant builder will be obliged to display the latest emailed
form at the site
The database so created on web sites of ALL Ministries - and
concerned Municipality - will be searchable State-wise / City-wise
CHANGES IN RELEVANT LAWS :
To
speed up any litigation between the parties concerned ( Builder / Buyers /
Central & State Govts / Municipality / Bankers etc ) , existing laws may be
changed
IMPORTANT :
Every
application must be in the open domain and visible to anyone , online and
transparently
There
should be provision for any visitor of the web site to report any abuse /
violation of regulations or any objection to the proposed construction
ADVANTAGES :
If
such SELF CERTIFICATION process is implemented , it should be possible for
India to beat Singapore , where getting 11 approval takes only 26 days !
It would be ZERO days in our case !
Now couple this with abolition of Corporate Income Tax for
Construction Industry for the next 10 years and witness a MIRACLE
Then
only it would become possible for achieving the following targets set by
different States / Centre , under HOUSING FOR ALL:
*
Maharashtra........... 5 lakh ( By 2020 )
*
Gujarat................... 50 lakh ( 2013 - 2018 )
*
Centre.................... 220 lakh ( by 2022 )
Also
imagine :
*
Employment it would generate
*
FDI it would bring in
*
Our rank in EASE OF DOING BUSINESS
Need
of the hour is :
*
Come out of " Analysis Paralysis "
*
Get rid of historical baggage
*
Break free from the legacy of the past
*
Think " Out of Box "
*
Take risk without worrying about possible failure
*
Make Course-Corrections , as you learn what
mistakes got made
-------------------------------------------------------------------------------------
hemen
parekh
05
Nov 2015
NETWORK OF
CURRENCY NOTES ?
While
inaugurating the International Conference on " Networking the Networks
" on Nov 2 , our FM Shri Jaitleyji said :
"
Tax evasion and money laundering will become extremely difficult in the next
1-2 years, with the global automatic exchange of information system coming into
effect on a real time basis "
To
speed up this process and make it truly automatic / real time , I suggest
resorting to the following technologies :
# Internet of Things ( IoT )
As
each currency note of Rs 500 / 1000 , is getting printed , embed it with
microscopic
RFID chips
Besides communicating with each other , these chips will also transmit their
existence
location , through internet , to cloud-based servers of Income Tax Department
This will form a " NETWORK OF
CURRENCY NOTES ( NoC ) "
You may like to call this Internet of Currency ( IoC )
, a sub-set of IoT !
# Internet Protocol Address System ( IP V 6.0 )
Each
Rs 500 / 1000 currency note must be assigned ( at the time of printing ) , its
own
unique Internet Address , using IP V 6.0
This IP address should be linked with the unique Serial Number printed on each
note.
Since IP V 6.0 , will be capable of assigning " 2 * 10 to the power of 128 ", no of IP
addresses , there is no danger of running out of addresses , even if we decide
to extend
this idea to Rs 100 currency notes !
This
reform will enable the Central Government / Income Tax Department , to :
*
Continuously trace the movement of each of these higher denomination currency
notes
*
Instantly locate any place ( using Google Map based GPS ) , where there is an
accumulation of more than Rs 1 Crore worth of currency notes
Such accumulation will be made to appear as a TAG CLOUD on the web site of IT
Dept,
like thousands of balloons floating on a map of India , capable of being
drilled down to
within 1 Sq Meter !
On each balloon , will appear a number announcing , " Amount of Cash here
- Rs " !
This will vastly simplify the task of Anti Corruption Dept / Enforcement Dept
etc
Of
course , my suggestions may become outdated with the arrival of mobile wallets
based CASHLESS SOCIETY , by 2030
In
the meantime , experts may want to opine whether my suggestions make sense ,
theoretically and practically ( if so , by when ? ) to tackle the menace of
black money generation
--------------------------------------------------------------------------------------------------
hemen
parekh
04
Nov 2015
DIGITAL INDIA ?
To
take our GDP growth-rate above 10 % , it is absolutely necessary to empower
each and every citizen digitally
This
can only happen when all of them get internet-connected
To
enable such connectivity , following conditions must be met :
SMART PHONES :
All
citizens must have G4 / Wi-Fi capable / GPS - NFC enabled mobile phones
This
is something competition among manufacturers will take care
BROAD-BAND
:
Entire
country ( every nook and corner ) gets connected with , either land-based fiber
optic broadband or wireless broadband , with minimum speed of 100 mbps ( as in
S. Korea )
For
this , the Central Govt must persuade Google ( Loons ) / Microsoft ( White
space ) / Amazon ( low orbit satellites ) and other MSPs
E MAIL ID :
Every
citizen must be, allotted / assigned , a FREE Email Id , based on his / her
Aadhar Number ( xyz@digitalindia.com
? )
This
must be done by the Central Government
ONLINE CITIZEN DATABASE :
E-Mail
Ids / Mobile Numbers / Postal Addresses of all the citizens should be easily accessible
/ searchable in an Online Citizen Database ( remember those printed Phone No
Directories of MTNL / BSNL , of 30 years ago ? )
Any
citizen can EDIT his own database by login from his Mobile phone only
And
why not a similar ONLINE / freely SEARCHABLE database of :
#
3+ Lakh Companies in Organized Sector
#
30 + Million MSME Companies
And
why not enable anyone to be able to send E Mail Messages to any of these
Companies from the web site of Department of Company Affairs or of Registrar of
Companies or of web site of Ministry of MSME ?
Just
imagine the boost this small step will give to trade !
INTERNET ADDRESS :
All
electrically / electronically operated devices / gadgets / appliances etc ,
must be assigned IP V 6.0 address , before being sold
Beginning
may be made with screens of all types ( Mobile / Tablets / PC / TV / Bank
Locker Cover , etc )
And , above all , the UNIQUE SERIAL NUMBER on each currency
note of Rs 500 and Rs 1,000 , will also become it's IP V 6.0 address
Let IoT ( Internet of Things ) begin with these currency
notes
Mr
Vishal Sikka would be glad to help out !
TRACKING MONEY FLOW :
All currency notes of Rs 500 / 1000 , to have built-in RFID
chips
Accumulation of a large number of RFID chips in any single
location ( including private safe deposit lockers / wall cavities etc ) , to
show up as a TAG CLOUD , on web site of Income Tax Department / Google Maps etc
Implication of this " Reform " is enormous
Currently
, some 97 % of payments in India are made in cash
This reform alone will ensure that , within one year , ALL
payments are made through Cheques / official banking channels / mobile wallets
!
Who wants a BIG tag-cloud on his bank locker ?
Now
couple this with other following reforms :
*
Abolish Personal Income Tax (Revenue
loss = Rs 2.45 lakh*crores )
*
Introduce Bank Transaction Tax - BTT (
Income = Rs 15 lakh*crore )
*
GST revenue due to those 97 % official
payments (Additional Rs 50 lakh*crore ? )
*
Other reforms suggested by at..www...hemenparekh...in>Blog
such as
# Conducting ALL elections
, using : VotesApp : mobile app
# Delivery of Govt services
, using : I
SIN><U SIN
: mobile app
# Eliminate Black Money
( Create Wealth to Create Jobs )
# Generate Clean Energy
( From Greed to Great ? )
# Health Care (
3D-Digital Delivery of Drugs )
# Paperless Society
( Digital Locker )
# Govt Budgets (
Budgeting by Objectives )
# Increase Domestic
Saving-rate ( Jan Dhan Sarjan Yojana )
-------------------------------------------------------------------------------------
hemen
parekh / 0 - 98,67,55,08,08
Mumbai
02
Nov 2015
A
faster / cheaper / accurate , alternative to
ANNUAL
EMPLOYMENT SURVEY ?
---------------------------------------------------------------
A
Proposal submitted to
* Shri TCA Anant ,
Chief Statistician ,
Ministry of Statistics and Programme Implementation ,
Government of India ,
------------------------------------------------------------------------------------
Suggested
By :
hemen
parekh
mumbai
/ (M) 0 - 98,67,55,08,08
27
Oct 2015
-------------------------------------------------------------------------------------
I have a
database of over 5 million job advts , downloaded over the past 6 / 7 years
from various job portals of India
Each job advt
database consists of :
Advt ID
Designation ( being advertised )
Company Name ( Advertiser )
Job Description
Desired Profile
Compensation Offered
Experience ( desired ) – Years
Industry Type
Education Quali ( Min )
Location ( Posting City )
Keywords
Advt Posting Date
Expiry Date
Some years back
, ( when our website , www.World-Wide-Jobs.com , was up and running ) ,
we had developed a feature to analyze this database and display the findings
visually , in different ways
We were
displaying PIE-CHARTS of :
Industry-wise Jobs
City-wise Jobs
You will
observe that , with a much larger database available now , it is possible to
analyze / display the “ No of Jobs “ , in many more ways
Not only that ,
it should be possible to analyze this huge database to predict the future
expected PATTERN of the occurrence of jobs , in many different ways !
At any given time
, the number of jobs getting advertised , is an important Economic Indicator
If economy is
booming and company Order Books are getting fatter , then more jobs will get
advertized – and vice-versa
Hence , a
time-series analysis of the no of new jobs getting posted on job portals , has
a straight line relationship with the state of the economy ( a high
co-efficient of correlation )
Apart from that
, can a Data mining of 5 million jobs , answer ( even partially ) , the
following questions ?
Who ( which Companies ) are advertizing and when ?
What jobs / vacancies / positions are being advertized ?
What is the frequency with
which a particular job gets advertized ? By entire industry ? By a given
Company ?
Which regions / cities have max / min no of new jobs ?
What are regional disparities
due to ?
Which Industries are
advertising most – creating most jobs ?
What Edu Qualifications are
in max demand ?
What kind of jobs demand what kind of Edu Qualifications ?
What is the level of co-relation between , Position and the years
of Experience demanded ?
For identical positions being advertized , how much do “ Job
Descriptions / Desired Profiles “ differ, from company to company ?
Are there significant differences in the “ No of years of
Experience “ being demanded , for identical positions ?
What is the probability of finding the “ Keywords “ in “ Job
Description / Desired Profile “ ?
What is the extent of duplication ( redundancy ? ) between , “ Job
Description “ and “ Desired Profile “ ?
What percentage of Advts fail to make any mention of ,
Compensation Offered ?
When a company posts an advt for same / identical position , at
different points of time , are there any differences in values ( fields ) ?
From an analysis of all the advts posted by a given Company ( over
past 7 years ) , can any conclusion be reached as to the changing nature of
that company’s business (by co-relating the “ Skills related Keywords “)?
Can the algorithm predict what job a company will advertize next –
and when ?
Is there any correlation between , “ Designation / Position “ and
the “ Keywords “ ?
From analyzing this huge data , can software auto-generate , a
complete / editable job advt , as soon as a Recruiter simply types the “
Designation / Position “ ?
I believe , so
far , no one has undertaken such a Data mining project
If carried out
diligently , I am sure , the outcome would be of immense benefit to :
HR Managers
for Manpower Planning / Compensation Planning
Recruiting Managers
for framing Man Specifications / Job Description Manuals
Educationists
for deciding what Edu Quali are in demand and tailor the Courses
Students
to figure out what “ Skills “ are in demand by Industry and prepare
Planning Commission ( NITI Aayog )
for allocating Resources to States / Regions , based on imbalances
HRD Ministry
For long term Macro-Planning in respect of Education
National Skills Development Commission
for chalking out Skills Development Programs in collaboration with Companies /
Industries
If undertaken –
and executed seriously – then this Data mining project has the potential to place
Ministry of Statistics and Programme Implementation ,
on the Centre-Stage of National
Education Planning Scenario
What
can / will such a project yield ?
Without
exaggerating , it would be safe to assume that , this vast database of job
advts would contain :
50
million phrases / sentences
500
million words
Obviously
, each word / phrase / sentence , is nothing more than a
“
Database of Intentions “ of the Employer Companies
(
to borrow from John Battelle’s well-researched book about Google )
Our
goal shall be to make this ( Data mining Algorithm ) a dynamic / continuous “
Process “ , so that , we can measure the changing nature of these “ Intentions
“ , over a long , long period
And
we must enable a “ Researching Visitor ( of web site ) “, to benefit from these
trends / patterns
Even
though 5 million job advts may contain 500 million “ words “ , these are not
Unique
Most
of these are used again and again , hundreds or thousands of times
Thru
data mining , it is not difficult to compute their “ Frequency of Usage “
And
then , these frequencies can be graphically plotted against any particular
time-period
Such
Graphical Representations can be further broken up by ,
City Names
Company Names
Industry Names
Function Names
Designations ( Vacancy Names ).. etc
And
such graphical analysis can be done , not only for “ Keywords “ but even for “
Key Phrases “ and “ Sentences “ !
Take
a look at this project paper ( NOT ENCLOSED )
It
is all about data mining of some 150 million records ( location points ) and
about uncovering “ trends / patterns “ of physical movements of 300 human
volunteers , over a “ period of time “
I
quote from article in Times of India ( 19 July
2013 ) :
“
..the first system of its kind to predict long term human mobility in a unified
way , parse the data. " Far Out " does
not need to be told exactly what to look for --- it automatically
discovered regularities in the data “
“
Do you know precisely where you’ll be 285 days from now at 2 pm ?
Researchers
have developed a new tracking software that can tell you exactly where you will
be on a precise time and date , years into the future “
What
we want to do with 5 million job advts database , is quite similar, viz ;
predict
,
WHO ( which Company / Industry
) , will advertize
WHAT
( vacancies / positions / designations ), and
WHEN ( time )
I am talking about developing an “ Expert System “ , thru
discovery of specific “ Co-relations “ amongst various Data Fields of 5 million
job advts
Eg :
Ø
What is the Co-relation between , any given
Ø
“ Designation / Vacancy-Name / Advertized Position ,
and
Ø
Educational Qualifications ?
Here are some examples :
Ø
Any designation such as “ Production Manager “ would call
for an “ Engineering Degree / Diploma “ ( but never a CS / CA )
Ø
Any designation in “ Finance Function “ will require,
B Com
M Com
CA etc
But never a BE(M ) / BE (Chem
)
Ø
Any designation at Manager level will call for a minimum
experience of 5 years ( but never a Fresh Graduate with NIL experience )
Ø
MBA / BBA / MMS etc are the most preferred Edu Qualifications for
positions in Marketing
Ø
No vacancy in an Automobile Manufacturing Company , will call for
a degree in Pharmaceutical
Ø
No Electrical Machinery Manufacturing company will ever demand a
Medical Degree (MBBS )
To a human mind , these ( rules ) are so obvious !
But , no human mind can write-down ALL of such RULES , in 2
minutes ! – something that your Data mining Software can – and will – do in 5
seconds !
All that you need , after computing “ Frequencies of Occurrences “
, is to :
Ø
Plot the Co-efficients of Co-relations between various Fields ( of job advts )
Ø
Compute Probabilities for each and create hundreds of Probability Tables
And , since a thousand new job advts are getting added to our Job
Advt Database , daily , the SAMPLE SIZE is perpetually increasing – thereby ,
increasing the Accuracies of your Predictions !
Having done this , imagine the following scenario :
Recruitment Officer of Wipro , comes to our “ Post Job “ page and
, in the field for “ Designation “ simply types ,
“ Business Analyst “
And Presto !
The entire Job Advt Form gets auto-filled , with MOST PROBABLE
values !
Would not that amaze her ?
All that our software has done is analyzed job advts of all “
Software Companies “ ( an Industry ),– and of WIPRO – for the position of
Business Analyst and filled in the most probable values
This is no rocket science !
We had actually , partially attempted it – albeit in a crude way –
in our earlier web site ,
What surprises me is , how come no one has attempted this so far !
Especially , Naukri / TimesJobs / MonsterIndia , who have
accumulated millions of job advts !
Anyway , the fact that they have , so far , ignored this
Line of Examination , will work to the advantage of
Ministry of Statistics and Programme
Implementation
– making YOU the very first person in the entire world to come up with
a
> PREDICTION MODEL
in the area of JOBS
However , without
applying some simple data mining tool , it would not be possible to answer the
following questions :
Where is the
greatest decline of jobs being advertized ?
How much is the
percentage decline ?
In which Industry ?
In which Company ?
In which City ?
In which Region ?
In which Skills ?
For which Positions ?
For which Education Levels ? ………… etc
With a data
mining tool , such individual graphs could emerge ( within fraction of a second
) at the click of a button !
One could even
co-relate these graphs with other ,
publicly
available statistical data such as :
IIP ( Index of Industrial Production )
Stock Market Index
Currency Exchange Rate ( eg; declining Rupee )
Decline in GDP / Increasing Fiscal Deficit
CAD ( Current Account Deficit )
Foreign Investments
Primary Bank Rates of RBI…………………………….etc
With proper co-relations , one could even predict how much the job market will further shrink , over the next 6 months ! or grow ?
Such” Predictive Model of Job
Market “, would be of immense interest to , not only the economists but
also to the
HRD Ministry /
Planning Commission /
Educational Institutions and of course the
students themselves
