The Government of India is
reportedly developing a Real-Time Labour Market Information System (LMIS)
that seeks to integrate data from ministries, industries, and skilling
platforms into a single source.
On the surface, this looks
promising. But a closer look shows that the proposed system is bureaucratic,
cumbersome, and may fail to deliver meaningful analytics in real-time.
Nine years ago, in my blog From
BAD to MAD, I had
proposed a far more comprehensive and elegant alternative. Instead of
centralizing data through cumbersome inputs, I suggested leveraging the ubiquity
of smartphones to create a Mobile Attendance Device (MAD) that would
automatically capture attendance, wage payments, and employment statistics at
the source.
Here is a side-by-side
comparison:
Tabulated Comparison
Aspect |
Govt’s LMIS (2025) |
MAD Proposal (2016) |
Data Capture |
Centralized collation of data from govt,
industry, skilling bodies. |
Decentralized, automatic capture from employees’
smartphones (GPS + biometric). |
Implementation |
Requires integration of multiple stakeholders,
portals, and databases. |
Simple smartphone app with “IN/OUT” buttons,
activated only at workplace via GPS. |
Coverage |
Focused on labour demand-supply and skilling
needs. |
Covers attendance, wages, taxation, PF, DBT
subsidies, compliance, employment density. |
Analytics |
Limited to demand-supply gaps, skill forecasts,
and job mapping. |
Dynamic analytics: employment growth rate,
overtime use, wage benchmarking, rural-urban migration, blue-collar vs
white-collar shifts, per-capita income growth. |
Simplicity |
Complex, bureaucratic, risk of data duplication
and delays. |
Elegant, real-time, automated—direct feed to govt
servers (Labour, HRD, Finance, IT Dept, NITI Aayog). |
Employee Benefits |
Indirect—better policy-making through data
insights. |
Direct—auto income tax filing, direct PF/TDS
transfer, instant DBT benefits for apprentices/trainees. |
Scalability |
Depends on ministries’ capacity to integrate and
clean data. |
Instantly scalable—100M establishments only need
to install MAD app for employees. |
Vision Fit |
Reactive, descriptive. |
Proactive, predictive, and transformative for
India’s “Human Resource Capital” vision. |
Why MAD is Superior
- Direct & Dynamic: Analytics are not second-hand reports but
emerge from live, verified transactions.
- Inclusive: Every worker, from factory labourer to office employee, is
covered.
- Efficient: No duplication, no bureaucratic lag—data flows straight from
employees’ phones to relevant authorities.
- Future-ready: Enables predictive analytics that investors, policymakers, and
planners can use to shape India’s workforce strategy.
Following is
a brief list of the ADVANTAGES
and EMPLOYMENT –
ANALYTICS , which my proposal would generate :
# For employees , no need to file a separate annual Income Tax Return
# Direct deposit of PF / TDS amounts into bank accounts of Govt Depts
# Direct Benefit Transfer ( DBT ) to every Employer for Stipend Subsidy ,
based on
number of total trainees / apprentices employed
# Total number of employees in India ( category /
region / industry )
# Employment Density ( Industry wise / Region wise / Skill wise etc )
# Net Employment Growth Rate ( weekly - monthly / Industry-wise )
# Co-relation with no of persons graduating at various levels
# Data about those Unemployed ( " Graduating " less "
Employed " )
# Overtime Statistics ( Use / Abuse )
# Work-hour Analysis ( Ave hours / week - month )
# Wage / Salary Rates ( Rs per hour ) -
Industry wise / Region wise
( of great
interest to Foreign Investors looking to bring down
manufacturing costs , by outsourcing to India / manufacturing in India )
# Compliance with labour laws / tax laws /
Apprentice Act etc
# Job Market Forecasts through BIG DATA ANALYTIC ( region /
industry )
# Demographic Profiles of employees ( Rural to Urban migration
)
# Per Capita Income Growth for persons using MAD app ( MOM / YOY )
# Changing composition between Blue Collar and White Collar employees
=================================================================
Call to Action
Hon. Labour Minister Shri
Prahlad Joshi ji,
Instead of building a cumbersome
centralised system that risks becoming another “white elephant,” the
government should adopt the MAD framework—simple, scalable, and capable
of generating the transformative analytics India needs.
India must not stop at mapping
jobs and skills—it must harness real-time, dynamic workforce analytics
to truly become the Human Resource Capital of the World, as envisioned
by our Hon. Prime Minister.
====================================================================
With Regards,
Hemen Parekh
www.HemenParekh.ai / www.My-Teacher.in / www.IndiaAGI.ai / 20 Sept 2025
No comments:
Post a Comment