The disruptive business models in spatial analytics

20
The disruptive business models in spatial analytics Bhoopathi Rapolu Head of Analytics – EMEA | CYIENT Europe Ltd. CYIENT © 2016 CONFIDENTIAL 18/05/2016 Driven by Big Data & IoT GEOSPATIAL WORLD FORUM 2016 Rotterdam, The Netherlands

Transcript of The disruptive business models in spatial analytics

Page 1: The disruptive business models in spatial analytics

The disruptive business modelsin spatial analytics

Bhoopathi RapoluHead of Analytics – EMEA | CYIENT Europe Ltd.

CY

IEN

T ©

20

16

CO

NF

IDE

NT

IAL

18

/05

/20

16

Driven by Big Data & IoT

GEOSPATIAL WORLD FORUM 2016 Rotterdam, The Netherlands

Page 2: The disruptive business models in spatial analytics

agenda• Location Intelligence

– the new frontiers

• 5 Disruptive Forces

• Disruptive Business Models

• CYIENT - Leading the journey

CY

IEN

T ©

20

14

CO

NF

IDE

NT

IAL

18

/05

/20

16

Page 3: The disruptive business models in spatial analytics

Location intelligence

The New Frontiers

3

CY

IEN

T ©

20

16

CO

NF

IDE

NT

IAL

18

/05

/20

16

Page 4: The disruptive business models in spatial analytics

Location Intelligence – the new frontiersC

YIE

NT

© 2

01

6 C

ON

FID

EN

TIA

L

4

18

/05

/20

16 About 80%

of corporate data has

spatial significance

BI provides WHAT, WHEN &

WHO…

Spatial provides WHERE and

makes better sense of HOW &

WHY

RELEVANCE

RESPONSE

REVENUE

RESULTS

Page 5: The disruptive business models in spatial analytics

Extending the gamut of LocationC

YIE

NT

© 2

01

6 C

ON

FID

EN

TIA

L

5

18

/05

/20

16

Every “thing” of economic value is spatially relevant…

SOLOCO

Socialise Localise Commercialise

Page 6: The disruptive business models in spatial analytics

5 disruptive trends

The New Opportunities

CY

IEN

T ©

20

16

CO

NF

IDE

NT

IAL

6

18

/05

/20

16

Page 7: The disruptive business models in spatial analytics

Sharing Economy

5 Disruptive trendsC

YIE

NT

© 2

01

6 C

ON

FID

EN

TIA

L

7

18

/05

/20

16

Location

Intelligence

Mobile

IoT

Big Data

Autonomous Agents

Page 8: The disruptive business models in spatial analytics

1. Widespread adoption of smartphonesC

YIE

NT

© 2

01

6 C

ON

FID

EN

TIA

L

8

18

/05

/20

16

Source:* Ericsson

**Pew Research Internet project, 9/2013

Global Smartphone traffic to increase by 8X by 2020• Location is ubiquitous

with cell triangulation

• Consumers opting to share their location voluntarily

• >74% of consumers with smartphones use location based services**

• App proliferation

17 EB

2.1 EB

3.5 GB

900 MB6.1 B

2.7 B

Smartphonesubscriptions

Monthly trafficPer active subscription*

Total monthly Smartphone traffic

2014 2020

Page 9: The disruptive business models in spatial analytics

2. Ability to connect things affordablyC

YIE

NT

© 2

01

6 C

ON

FID

EN

TIA

L

9

18

/05

/20

16

Most of the IoT applications have spatial significance

• Vehicles, cell phones, assets and even pets

Location and Time play pivotal role in building spatial intelligence• Show me vehicles passed by location X in

the past hour• Where has my car been over the last few

hours

Page 10: The disruptive business models in spatial analytics

3. Ability to process big data in real-time and offlineC

YIE

NT

© 2

01

6 C

ON

FID

EN

TIA

L

10

18

/05

/20

16

If there is location, there is location intelligence, almost instantly.

• 28 to 32 year old, middle class single male. • Spends lunch hours at the gym. • Frequents nightlife hotspots on Fridays. • Visits mountains on weekends. • Air travel 20% of the time. • Outdoor, active lifestyle pursuits & interests.

Human Smartphone Location Relevant data Context Analytics Applications

Location intelligence is underutilized in most BI applications

Page 11: The disruptive business models in spatial analytics

3. Ability to process big data in real-time and offlineC

YIE

NT

© 2

01

4 C

ON

FID

EN

TIA

L

11

18

/05

/20

16

• Speech recognition• Natural language processing• Face detection• Medical diagnosis• Customer profiling• Fraud detection• Spam detection• Shape detectionBusiness Data

ERP CRM OLAP

Complementary DataDemographics Business

statistics

Spatial DataPoI people things

Sensor DataGPS RFID Other sensors

Spatial Database

Spatial data ETL Spatial data integration

Spatial AnalyticsTraditional Analytics

Spatial Display Traditional DisplayVisualization

Analytics

Common capabilities of Machine Learning

Page 12: The disruptive business models in spatial analytics

4. Autonomous Agents and ThingsC

YIE

NT

© 2

01

6 C

ON

FID

EN

TIA

L

12

18

/05

/20

16

ObviousUnobtrusive

Physical

Virtual

Robots

Drones

Driverless vehicles

Speech to Text

Security Operations

EnterpriseApps

Sensors

Smart Appliances

Cognitive Services

Smart Advisors

Virtual Assistants

Smart Tools

Autonomous agents and things sense their environment and produce rich data.

They get richer context with location intelligence when they interact with their environment

Page 13: The disruptive business models in spatial analytics

5. Sharing EconomyC

YIE

NT

© 2

01

6 C

ON

FID

EN

TIA

L

13

18

/05

/20

16

Communication Web 2.0Social Media &

Sharing Economy

Location IntelligenceWeb ServicesInternet

Page 14: The disruptive business models in spatial analytics

Disruptive Business Models

Where is the Money?

CY

IEN

T ©

20

16

CO

NF

IDE

NT

IAL

14

18

/05

/20

16

Page 15: The disruptive business models in spatial analytics

The Disruptive Business ModelsC

YIE

NT

© 2

01

6 C

ON

FID

EN

TIA

L

15

18

/05

/20

16

Accumulate context to create untapped business value

Location

Intelligence

Mobile

IoT

Big Data

Autonomous Agents

• Resolve data sources across multiple disruptive forces

• Integrate new forces with existing ones

Sharing Economy

• Spatial Reasoning

• Temporal Reasoning

• Nodal Reasoning

• Create possibilities

• Predict Outcomes

• Alert opportunities

Tap Multiple Forces

Accumulate Context

Determine Relevance

Create Business Value

Page 16: The disruptive business models in spatial analytics

Observation space for Location IntelligenceC

YIE

NT

© 2

01

6 C

ON

FID

EN

TIA

L

16

18

/05

/20

16

LBS Interplay

Business Data

Dynamic Data

• Weather• Traffic• Risk & Hazards• Asset condition

• Business Demographics

• Consumer Demographics

Map Info

• Navigation• Elevation & terrain• Point of Interests

Third Party Data

• Transportation• Comms. networks• Utilities

• Agriculture• Healthcare

Lack of robust revenue model is the primary reason for failure of most of the LBS providers

The money is with:• Rich spatial data• Attractive platform for advertisers • Compelling applications• Cross functional applicability

Page 17: The disruptive business models in spatial analytics

Cyient

Leading the journey of Spatial Analytics

18

/05

/20

16

17

CY

IEN

T ©

20

16

CO

NF

IDE

NT

IAL

Page 18: The disruptive business models in spatial analytics

CY

IEN

T ©

20

14

CO

NF

IDE

NT

IAL

18

/05

/20

16

Page 19: The disruptive business models in spatial analytics

CY

IEN

T ©

20

14

CO

NF

IDE

NT

IAL

18

/05

/20

16

Page 20: The disruptive business models in spatial analytics

Thank You

Bhoopathi RapoluHead of Analytics – EMEA

Email: [email protected]: @bhoopathi

18

/05

/20

16

CY

IEN

T ©

20

16

CO

NF

IDE

NT

IAL