Hi Friends,

Even as I launch this today ( my 80th Birthday ), I realize that there is yet so much to say and do. There is just no time to look back, no time to wonder,"Will anyone read these pages?"

With regards,
Hemen Parekh
27 June 2013

Now as I approach my 90th birthday ( 27 June 2023 ) , I invite you to visit my Digital Avatar ( www.hemenparekh.ai ) – and continue chatting with me , even when I am no more here physically

Friday, 19 September 2025

Labour Market Information System ( LMIS ) vs MAD

 


 



 

 Real-Time Labour Market Info System vs. MAD: Which is Better for India?

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