nasscom ilf 2014: ten technologies to transform india: noshir kaka, mckinsey and company

SOURCE: Source

Ten technologies to

transform India

February 12, 2014

CONFIDENTIAL AND PROPRIETARY

Any use of this material without specific permission of McKinsey & Company is strictly prohibited

Conference Document

McKinsey & Company | 1

India’s needs for the

next decade

are huge

Ten technologies

have

transformative potential for

India

The opportunity at stake is 4X-

6X of IT-ITES

current value


India’s needs for the next decade are huge

300 Mnpeople need access

to electricity

500 Mn skilled

people needed over

the next decade

120 Mnrural households

need bank

accounts

650 Mnpeople need proper

nourishment

#134 out of 189

countries on ease of

doing business

#124 out of 190

countries on United

Nation’s E-Governance

index

GOVERNANCE

ACCELERATION

Accelerated growth, inclusiveness and governance

400 Mnrural people need

access to quality

healthcare


Ten technologies have a key role in this transformation

Cloud technology

Universal biometric identity

Advanced oil & gas Exploration & Recovery

Advanced energy storage

Ubiquitous connectivity

Internet of things

Digital paymentsAutomation of knowl-edge work

Next generation genomics

Renewable energy sources

Cloud technology




Automation of knowl-edge work



▪ 14% penetration, with 43% through mobile

▪ $10 per MBPS access cost

▪ 60-80%penetration with >70% through mobile

▪ <$1 per mbps access cost

▪ Enabled with custom devices for closed systems applications

▪ Enabled withaffordable standardized devices for open system applications across industries

▪ ~1.4 billion B2B and B2C transactions driven by high value fixed line transactions

▪ 5 – 10 billion transactions (large scale) including large scale mobile based low value P2P payments

Cloud technology





Internet of things

Digital paymentsAutomation of knowl-edge work



Internet of things

Digital payments

Cloud technology





▪ 43 GW solar capacity (9% of India’s installed capacity)

▪ Solar capacity of 1.7 GW (0.7% of India’s installed capacity)

▪ Advanced automa-tion in BPO/BPMwith potential large scale disruption of medium skilled labor force

▪ Scattered pilot applications in B2B and B2C settings affecting service industry

▪ Regular genomic based diagnosis for non-communicable diseases and targeted treatment

▪ Use of genomics in research laboratories and for very small patient sets (50 -100 patients)


Sector

Technology can change millions of lives, fast

People Impacted, 2025 Scale

Health-

care“500 million” additional rural people with

access to quality healthcare

Equal to the population of

US + Mexico

Financial

services“68% of adult” population with access to

most financial services

2 x current financially

included people across India

in India

Energy “80-110 million” people with access to

electricity

Equal to lighting up a country of size of

Philippines

Education “190 million” people with additional 4-8 yrs

of education

5x current number of

vocationally trained in India

Agriculture “90 million” farmers with higher farm

productivity, better market information

50 % increase in farm

productivity

Citizen

services“2-5% increase” in citizen’s time

availability due to digital services

5-12extra days per person per year freed up

SOURCE: Source

Ten technologies to

transform India

CONFIDENTIAL AND PROPRIETARY

Any use of this material without specific permission of McKinsey & Company is strictly prohibited


SughaVazhvu – towards end-to-end technology led healthcare

Phone tablet

based door to

door enrollment

Protocol

based treatmentPrinted Rx

Geotagging

and Barcoded UID

for all patients

Online reports

Auto-

replenishment of

drugs

Patient enrollment

and assessment

Treatment and

diagnosis

Medication and

follow-up

Physician training

and setup

Education of medical

protocol for treatment

of diseases

Rapid risk

assessment

of patient

Low cost

diagnostic through

centralized test labs

Auto patient

reminder on visits

scheduled

2 laptops +

2 tablet per clinic

Setup

Healthcare

100,000 patients enrolled and treated till date in the districts of Tamil Nadu

Electronic health records


60-80% reduction in training time and standardised care

OutcomeContext

▪ Reduced time

to training/

up-skill

▪ Better quality

of care due to

– Influenced

behaviour of

nurses

– Paperless

recording

▪ Smart decision

making

▪ Takes about 14+

years for a nurse

to be skilled for

practicing

in ICUs

▪ Big shortfall in

skilled nurses at

all levels

– Early tenure

nurses put in

ICU leading

to reduced

quality

– Junior

doctors put in

ICUs leading

to higher cost

ICU Signals

EMR

+

Cloud

Doctors inputs

Reminders

Alarms

Treatment

protocol

Work

scheduling

Healthcare


Freeing up teachers to do teaching and better school outcomes

SOURCE: McKinsey analysis, Educational Initiatives, Kerala govt

Biometric

attendance E-content

Self-assessment/

recommendation

engines

Data analytics/

report

generation

Affordable

devices

Customized learning

Computer adaptive learning allow children to learn

at their pace

Solution already delivered to ~50K students

Performance of students improved by 90%1

50% of teacher time can be reallocated

Cost can go down to INR 50 per month per

student

In Kerala, details of ~60 lakh student to be

recorded and analyzed in real-time

Potential for drastic reduction in the consuming

activities, e.g., 20-30% time saved

Enabling fact based schools management

Performance tracking

1 Comparison of pre- and post-test scores for the Ratlam project by EI

Impact on

disadvantaged schools

is much higher, +56%,

vs. top end K12

Education


Vocational with technology – capacity, effectiveness, job suitability

Supply demand matchingSupply generation

▪ 9,000+ student were trained with 85% placement

rate in FY2012

▪ Uses hub and spoke model for training

▪ Received “Best Performing Corporate Partner

Award” at the NSDC Partners Meet, 2012

▪ Transparently provides update on skills demand

and supply

▪ Needs to refreshed more frequently e.g. Australia

labour portal updates data on a monthly basis

Tech

enabled

training

Labour

portals

K-YAN

“K-Yan” (Knowledge

Yan) delivers

multimedia content

in classroom

Trainee

data

Employee

data

Case example

Masonry

Computer

Hardware Textiles

Education