copyright © 2012, sas institute inc. all rights reserved. big data and the internet of things: two...

Copy r ight © 2012, SAS Ins t i tu te Inc . A l l r ights reserved.

BIG DATA AND THE INTERNET OF THINGS:TWO SIDES OF THE SAME COIN?

TAMARA DULL, DIRECTOR OF EMERGING TECHNOLOGIES


QUIZ #1: BIG DATA OR THE INTERNET OF THINGS?

Source: http://blog.qmee.com/wp-content/uploads/2013/07/Qmee-Online-In-60-Seconds2.png

BIG DATA

Every minute, we: • send 204M emails• generate 1.8M Facebook

likes• send 278K tweets• upload 200K photos to

Facebook


QUIZ

Source: http://www.chassis-plans.com/blog/big-data-interesting-facts-and-figures/

#2: BIG DATA OR THE INTERNET OF THINGS?

INTERNET OF THINGS

12M RFID tags – used to capture data and track movement of objects in the physical world – had been sold in 2011.

By 2021, it is estimated that number will have risen to 209B as ____________ takes off.


QUIZ

Source: http://newsroom.cisco.com/ioe


INTERNET OF THINGS

The boom of _____________ will mean that the amount of devices that connect to the Internet will rise from about 13 billion today to 50 billion by 2020.


QUIZ

Source: http://www.dazeinfo.com/2014/05/02/rise-big-data-industry-market-worth-53-4-billion-2017/


BIG DATA

The ____________ industry is expected to

grow from US$10.2 billion in 2013 to about US$54.3

billion by 2017.


TODAY’S ROADMAPBIG DATA IS A SUBSET OF THE INTERNET OF THINGS DISCUSSION

• The Definitions• The Comparison• What Really Matters


THE DEFINITIONS


THE DEFINITIONS GARTNER’S BIG DATA DEFINITION 2012

Big data is high volume, high velocity, and/or high variety

information assets that require new forms of processing to

enable enhanced decision making, insight discovery and

process optimization.


THE DEFINITIONS GARTNER’S BIG DATA DEFINITION 2001

Date: 6 February 2001 Author: Doug Laney

3-D Data Management: Controlling Data Volume, Velocity and

Variety. Current business conditions and mediums are pushing traditional data

management principles to their limits, giving rise to novel and more formalized

approaches.

META Trend: During 2001/02, leading enterprises will increasingly use a

centralized data warehouse to define a common business vocabulary that

improves internal and external collaboration. Through 2003/04, data quality and

integration woes will be tempered by data profiling technologies (for generating

metadata, consolidated schemas, and integration logic) and information

logistics agents. By 2005/06, data, document, and knowledge management will

coalesce, driven by schema-agnostic indexing strategies and portal maturity.

Source: http://blogs.gartner.com/doug-laney/deja-vvvue-others-claiming-gartners-volume-velocity-variety-construct-for-big-data/


THE DEFINITIONS “WHAT IS BIG DATA?” ASKS DATASCIENCE@BERKELEY

Source: http://datascience.berkeley.edu/what-is-big-data/


THE DEFINITIONS “WHAT IS BIG DATA?”: THREE RESPONSES

Big Data is the result of

collecting information at its

most granular level — it’s

what you get when you

instrument a system and keep

all of the data that your

instrumentation is able to

gather. Jon Bruner, Editor-at-Large,

O’Reilly Media

Source: http://datascience.berkeley.edu/what-is-big-data/

Big data is data that even when efficiently compressed still contains 5-10 times

more information (measured in entropy or predictive power, per unit of time) than

what you are used to right now. It may require a different approach to extract value. Vincent Granville, Co-Founder, Data Science Central

What’s “big” in big data isn’t necessarily the size

of the databases, it’s the big number of data

sources we have, as digital sensors and

behavior trackers migrate across the world. As

we triangulate information in more ways, we will

discover hitherto unknown patterns in nature and

society — and pattern-making is the wellspring

of new art, science, and commerce. Quentin Hardy, Deputy Tech Editor,

The New York Times

http://www.oreilly.com/

http://www.datasciencecentral.com/

http://www.nytimes.com/


THE DEFINITIONS INTERNET OF THINGS

Networks of low-cost sensors and actuators for data collection, monitoring,

decision making, and process optimization. McKinsey & Company

The Internet of Everything (IoE) brings

together people, process, data, and

things to make networked connections

more relevant and valuable than ever

before-turning information into actions

that create new capabilities, richer

experiences, and unprecedented

economic opportunity for businesses,

individuals, and countries. Cisco

The Internet of Things – which

excludes PC, tablets, and

smartphones - is the network

of physical objects that contain

embedded technology to

communicate and sense or

interact with their internal

states or the external

environment.Gartner


THE DEFINITIONS GARTNER HYPE CYCLE 2011


THE DEFINITIONS GARTNER HYPE CYCLE 2014


THE COMPARISON


THE COMPARISON A SIMPLIFIED PERSPECTIVE

Big DataInternet

of Things

data data

devices

connectivity


THE COMPARISON MAURITIUS RESOLUTION ON BIG DATA

• Implement privacy by design.• Be transparent about what data is collected, how data is processed, for what purposes

data will be used, and whether data will be distributed to third parties.• Define the purpose of collection at the time of collection and, at all times, limit use of

the data to the defined purpose.• Obtain consent.• Collect and store only the amount of data necessary for the intended lawful purpose.• Allow individuals access to data maintained about them, information on the source of

the data, key inputs into their profile, and any algorithms used to develop their profile.• Allow individuals to correct and control their information.• Conduct a privacy impact assessment.• Consider data anonymization.• Limit and carefully control access to personal data.• Conduct regular reviews to verify if results from profiling are “responsible, fair and

ethical and compatible with and proportionate to the purpose for which the profiles are

being used.”• Allow for manual assessments of any algorithmic profiling outcomes with “significant

effects to individuals.”

Source: http://www.insideprivacy.com/international/data-protection-officials-adopt-internet-of-things-declaration-and-big-data-resolution/


THE COMPARISON MAURITIUS DECLARATION ON THE INTERNET OF THINGS

• Self-determination is an inalienable right for all human beings.• Data obtained from connected devices is “high in quantity, quality and

sensitivity” and, as such, “should be regarded and treated as personal data.”• Those offering connected devices “should be clear about what data they

collect, for what purposes and how long this data is retained.”• Privacy by design should become a key selling point of innovative

technologies.• Data should be processed locally, on the connected device itself. Where it is

not possible to process data locally, companies should ensure end-to-end

encryption.• Data protection and privacy authorities should seek appropriate enforcement

action when the law has been breached.• All actors in the internet of things ecosystem “should engage in a strong,

active and constructive debate” on the implications of the internet of things

and the choices to be made.

Source: http://www.insideprivacy.com/international/data-protection-officials-adopt-internet-of-things-declaration-and-big-data-resolution/


THE COMPARISON TAKEAWAYS FROM MAURITIUS CONFERENCE

• Objective: Set out principles and recommendations designed to reduce the

risks associated with the collection and use of data for players in the

connected devices and big data ecosystems. • These two documents are not binding; however, they serve as relevant

indicators of direction of data privacy policies and trends.• The concerns addressed at the conference echo those of the White House

reports on big data privacy, including discrimination, personalization, and data

anonymization.• The adoption of the Declaration and Resolution serves as a reminder of the

importance of ethics in tackling issues of data privacy and “the potential risks

of big data-driven digital predestination.”


WHAT REALLY MATTERS


QUIZ WHAT DO THESE COMPANIES HAVE IN COMMON?

GoogleFacebook

TwitterLinkedIn

OrbitzAirbnb

Angie’s ListMatch.comOpenTable

Uber


QUIZ RESPONSE WHAT THESE COMPANIES HAVE IN COMMON:

• Presence. They’re all online; they have no brick-&-mortar

presence. If their website or mobile app is unavailable, it’s as

if they don’t exist.• Primary asset. Their primary corporate asset is data,

specifically data (mostly big) created by users. They do not

sell physical inventory.• Business model. Their primary function is to connect users

with the right web page, person, and/or service. If connections

aren’t relevant, quick, or easy, users move on.• Revenue model. They make their money by connecting the

data dots, primarily through advertising or service fees. If

connections aren’t made, money is lost.• Top companies:

• Google, Facebook, Twitter, LinkedIn, and Orbitz are included in

Forbes’ 2014 ten best companies to work for list. • Google, Facebook, and Twitter are included in Glassdoor’s

Top 25 Companies for Culture & Values 2014 list.

Google

Facebook

Twitter

LinkedIn

Orbitz

Airbnb

Angie’s List

Match.com

OpenTable

Uber

The Bottom Line If any of these companies fail

to keep collecting and connecting the data dots for

its users, for whatever reason, they will go out of business.

http://www.forbes.com/sites/jacquelynsmith/2013/12/11/the-best-companies-to-work-for-in-2014/

http://www.fastcompany.com/3034679/most-innovative-companies/the-company-with-the-best-culture-twitter-according-to-glassdoor


WHAT REALLY MATTERS

DATA AS A CORPORATE ASSET

"To understand what it means to manage data as an

asset, you first have to understand the business

definition of the term ‘asset.’ First, the asset needs to

have a value; second, that value needs to be

measurable; and third, it helps a company achieve its

strategic objectives. When managed the right way—

that is, as an asset—a company’s data meets these

three criteria.“

Jill Dyché, co-founder of Baseline Consulting and current

VP of SAS Best Practices

Data is driving

your business Good news: It

can provide

insight into your

business

performance and

strategic

direction Bad news: You

could drown in it Manage your data

before it manages

you


WHAT REALLY MATTERS

FIVE QUESTIONS JILL ASKS EXECUTIVES

1. Are you giving your corporate data – big and small – resources comparable

to your other corporate assets?

2. Are you dedicating technology comparable to your other corporate assets?

3. Are you allocating funding relative to your other corporate assets?

4. Do you measure the cost of poor, missing or inaccurate data?

5. Do you understand the “opportunity cost” of not delivering timely and

relevant data to the business?


WHAT REALLY MATTERS

THREE KEY TAKEAWAYS

1. Big data is about making money. If you’re not

using big data to improve your business – e.g.,

revenues, profits, operational efficiencies, decision

making, etc. – then don’t do big data. It’s not worth

the time, money or hassle.

2. Manage your data as a corporate asset. Even if big

data or the Internet of Things is not your core

business, managing your data – big and small – as a

corporate asset is absolutely vital as your company

makes its way in today’s connected marketplace. To

not manage your corporate data is to rob your

company of its strategic edge.

3. Two sides of the same coin? Big data is a subtopic

of the Internet of Things. Big data is about data, while

IoT is about data, devices, and connectivity.


FINAL QUIZ BIG DATA OR THE INTERNET OF THINGS?

Source: http://www.datanami.com/2014/05/29/hadoop-market-grow-58-2020-report-says/

The value of the ________ market is expected to soar from $2 billion in 2013 to $50 billion by 2020, according to market research firm Allied Market Research.

HADOOP

Copy r ight © 2012, SAS Ins t i tu te Inc . A l l r ights reserved.sas.com

IT’S A BIG DATA WORLD OUT THERE. NOW LET’S BE SAFE.

[email protected]

@tamaradull

http://www.sas.com/

copyright © 2012, sas institute inc. all rights reserved. big data and the internet of things: two...

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