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Enhancing Resilience: Big Data Analytics & Data Science

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Page 1: Enhancing Resilience - CMI Marseille...2011 PlaNYC 2.0 Evaluate progress, Report Results Analyze data to prioritize risks more strategically Data Exchanges 2012 HURRICANE SANDY 43

Enhancing Resilience:

Big Data Analytics

& Data Science

Page 2: Enhancing Resilience - CMI Marseille...2011 PlaNYC 2.0 Evaluate progress, Report Results Analyze data to prioritize risks more strategically Data Exchanges 2012 HURRICANE SANDY 43

Top three challenges for city adaptation

1. securing funding 2. communicating the need 3. gaining commitment

LESSONS FROM

ENTERPRISE:

DATA-DRIVEN

decision-making &

communication

TOP LEVEL

commitment

HOLISTIC APPROACH

to risk & growth

Source: Progress and Challenges in Urban Climate Adaptation Planning , Results of a Global Survey, MIT

Page 3: Enhancing Resilience - CMI Marseille...2011 PlaNYC 2.0 Evaluate progress, Report Results Analyze data to prioritize risks more strategically Data Exchanges 2012 HURRICANE SANDY 43

Integrated Collaboration,

Communication & Awareness

Decision-Support

Dissemination, Learning

Hazard, Exposure Risk, Vulnerability, Event, Response,

Recovery, Adaptation

Data Collection

Data Analysis Visualization, Reports & Dashboards

RESILIENCE:

HFA,

GFDRR PILLARS

Mobile, Sensors,

IoT, Social Media

OPEN Data,

Privacy Standards

Advance Visualization

Simulation

Human-Machine Interaction

Predictive analytics

Machine Learning

Natural Language Processing

‘Big Data Analytics’ is a

converging set of innovations..

Challenge is to remove the complexity and make it

actionable

Page 4: Enhancing Resilience - CMI Marseille...2011 PlaNYC 2.0 Evaluate progress, Report Results Analyze data to prioritize risks more strategically Data Exchanges 2012 HURRICANE SANDY 43

Big Data Myth Reality

Big data is a big

project

Right strategy, tools & processes can make big

data projects cost-effective..

Violates Privacy

Privacy-by-design, de-identification and

anonymization can address privacy issues..

Too Complex

Manageable with the right skill sets..

Takes too long to

deploy

Big data projects with the right leadership &

scope can deliver results within “days”..

Results have to be

100% accurate

Predictive is about weighing & judging different

probable outcomes..…Fast learning & continuous

refinement is the key..

PRIVACY

!

Shattering

the myths

Page 5: Enhancing Resilience - CMI Marseille...2011 PlaNYC 2.0 Evaluate progress, Report Results Analyze data to prioritize risks more strategically Data Exchanges 2012 HURRICANE SANDY 43

Fortune 100 company: Enhance

effectiveness & reduce risks

Challenge is to create intelligence

without user data input

EU,

operations

China,

operations

Customer

Banks

Government

Law Firm

Vendor

Partner

Customer

Banks

Government

Law Firm

Vendor

Partner

Americas,

operations

Partner Customer Vendor Prospect

Partner Customer Vendor Prospect

HQ,

multiple

projects

Asia Pacific,

operations

MANAGE

RISKS LEVERAGE RELATIONSHIPS

FIND

EXPERTS COMPETITIVE

ADVANTAGE

Page 6: Enhancing Resilience - CMI Marseille...2011 PlaNYC 2.0 Evaluate progress, Report Results Analyze data to prioritize risks more strategically Data Exchanges 2012 HURRICANE SANDY 43

Leveraging top influencers

& opinion-makers

0.5 STAR

1 STAR

1.5 STARS

2 STARS

2.5 STARS

3.0 STARS

3.5 STARS

4 STARS

4.5 STARS

5 STARS

RELATIONSHIP

STRENGTH

RELATIONSHIP STRENGTH ANALYSIS REPORT

Page 7: Enhancing Resilience - CMI Marseille...2011 PlaNYC 2.0 Evaluate progress, Report Results Analyze data to prioritize risks more strategically Data Exchanges 2012 HURRICANE SANDY 43

Early warning on

failing relationships

# OF CONTACTS

<= 30Days

31-90 Days

91-120 Days

>120 Days

Communication

sentiment

transaction..

Page 8: Enhancing Resilience - CMI Marseille...2011 PlaNYC 2.0 Evaluate progress, Report Results Analyze data to prioritize risks more strategically Data Exchanges 2012 HURRICANE SANDY 43

Early warning on

failing projects

EARLY WARNING

ON FAILING

PROJECTS

Page 9: Enhancing Resilience - CMI Marseille...2011 PlaNYC 2.0 Evaluate progress, Report Results Analyze data to prioritize risks more strategically Data Exchanges 2012 HURRICANE SANDY 43

Key projects: Inter-departmental & external collaboration

KEY INDIVIDUALS &

THEIR TEAMS

WORKING ON A

SPECIFIC PROJECT

CIRCLE SIZE

INDICATES

ACTIVITY LEVELS.

TOP 5 PEOPLE &

THEIR TOP 5 TEAM

MEMBERS

Page 10: Enhancing Resilience - CMI Marseille...2011 PlaNYC 2.0 Evaluate progress, Report Results Analyze data to prioritize risks more strategically Data Exchanges 2012 HURRICANE SANDY 43

Jakarta (March, 2014)

LIVE FLOOD

REPORTS BY

MONITORING

SOCIAL MEDIA

(150,000 REPORTS

WITHIN 24 HOURS..

PUBLIC WITH

MOBILE PHONES

ACTING AS EYES &

EARS ON THE

GROUND)

* Source: United Nations Global Pulse,

http://www.unglobalpulse.org/urban-resilience-petajakarta

Page 11: Enhancing Resilience - CMI Marseille...2011 PlaNYC 2.0 Evaluate progress, Report Results Analyze data to prioritize risks more strategically Data Exchanges 2012 HURRICANE SANDY 43

Haiti Earthquake 2010

POPULATION

DISPLACEMENT

MEASUREMENT USING

ANONYMIZED MOBILE

PHONE DATA (CDR).

FUTURE MIGRATION

PATTERNS CAN BE

PREDICTED…

* Source: http://www.flowminder.org

A tent city for displaced people outside Port

au Prince. (Christian Fuchs — JRS/USA) Source: Sergi Camara – JRS

Page 12: Enhancing Resilience - CMI Marseille...2011 PlaNYC 2.0 Evaluate progress, Report Results Analyze data to prioritize risks more strategically Data Exchanges 2012 HURRICANE SANDY 43

Indonesia Food Crisis: Pro-actively Respond to Price Shocks & Mitigating the Negative

Impacts (Food is 75% of total spending in poor house hold)

CONFUSED /WANDERING

NEGATIVE

REALIZED PRICE HIGH,

NO EMOTION

POSITIVE/UNAFFECTED

* Source: United Nations Global Pulse

GOVERNMENT DISCUSSING FUEL

SUBSIDY CUT GLOBAL SOYBEAN

PRICE RISE

Page 13: Enhancing Resilience - CMI Marseille...2011 PlaNYC 2.0 Evaluate progress, Report Results Analyze data to prioritize risks more strategically Data Exchanges 2012 HURRICANE SANDY 43

New York City: Incorporating Resilience +

Data in its Policy and Operations

2006 Created Office of Long-Term Panning & Sustainability (OLTPS)

2007 PlanNYC: City’s Sustainability Plan

2008 New York City Panel on Climate Change (NPCC1)

2013

Launched Climate Resiliency

Plan (SIRR) as part of PlaNYC

($20 billion + 250 projects)

Created the Office of Recovery &

Resiliency, Director / Chief

Resilience Officer

Single point of contact with all

the State & Federal agencies

Mayors Office of Data Analytics

(MODA), Chief Analytics Officer

2014

Continued building

on the Long-tem Plan

Goals & Strategies

Public Outreach & Buy-in

Implementation Plan

Data Aggregation & Analysis

Assessment

Implement Polices & Measures

2011

PlaNYC

2.0

Evaluate progress, Report Results

Analyze data to prioritize

risks more strategically

Data Exchanges

2012

HURRICANE

SANDY

43 deaths

$19 billion damage

Office of Housing

Recovery

(relief + recovery)

Climate Change

Risk Assessment

Revised plan based on lessons

and new information

Outreach to public, government,

businesses, academic, global..

Resilience Plan based on the assessment

Source: nyc.gov, others

Page 14: Enhancing Resilience - CMI Marseille...2011 PlaNYC 2.0 Evaluate progress, Report Results Analyze data to prioritize risks more strategically Data Exchanges 2012 HURRICANE SANDY 43

Communicating the need for Resiliency:

Data-driven, Simple & Effective

Page 15: Enhancing Resilience - CMI Marseille...2011 PlaNYC 2.0 Evaluate progress, Report Results Analyze data to prioritize risks more strategically Data Exchanges 2012 HURRICANE SANDY 43

NOT BIG DATA SMART DATA

Conclusion

Page 16: Enhancing Resilience - CMI Marseille...2011 PlaNYC 2.0 Evaluate progress, Report Results Analyze data to prioritize risks more strategically Data Exchanges 2012 HURRICANE SANDY 43

CONTACT US

MANISH SOOD, CEO

[email protected]

+1 (646) 773-7726

Smart Data Science LLC

1 Penn Plaza, 36th Floor,

New York, NY 10119, USA

Office: 212-206-1290

www.smartdatascience.com