#SDGOALS
WORST TO FIRST: CHAPTER 1
HOW DARE YOU LECTURE ME
WHO DO WE APPRECIATE? CHAPTER 8!
VERY VALUABLE Vs
100

The Sustainable Development Goals were first put forward in 2012 by this unified organization.

The United Nations

100

Volume, Variety, Velocity, and this make up the
4 Big Data Vs.

Veracity

100

The Economist was pretty slick when it declared this in 2017.

(Big) Data is the new oil 

100

The more users a platform has, the more valuable it becomes for everyone, thanks to the _____ effect, not to be confused with a certain Jesse Eisenberg film.

Network

100

No, not the radio! This is the V that makes Big Data so “big”.

Volume

200

SDG 9: Industry, Innovation and Infrastructure names universal and affordable access to this “I” as a key target.

Internet

200

Put on your thinking cap:
Today, Big Data will derive from our interactions with these kinds of devices.

“Smart” devices

200

Unstructured data leads to all sorts of problems, including confusing photos of Chihuahuas with these.

Muffins

200

The European Union cracked down on Facebook to obtain unambiguous, specific, and informed consent to these Big Data morsels throughout the 2010s.

Cookies

200

Be honest, data from a scientifically controlled study should have this.

Veracity

300

The UN suggests analysis of financial transactions could reveal the spending patterns of men and women, furthering this goal, #5.

Gender Equality

300

Historically, the most important data sets consisted of census data and tax records about this group, of which you certainly belong.

Persons as Citizens 

300

Here’s a test: who argued that an intelligent machine must convincingly grasp the meanings of words? 

Alan Turing

300

I present to you a Platform Industry Paradox:
this San Francisco startup doesn’t own a single set of wheels but is really going places.

Uber 

300

This V involves data that may be structured or unstructured.

Variety

400

Kumbaya! SDG 17 is unique because its targets are all about strengthening this.

Partnership(s)

400

The textbook pulls from many fields to analyze Big Data, including this one, studying macro social relationships.

Sociology

400

What hap-hap-happened? This type of analytics understands the past.

Descriptive Analytics

400

Platform industries rely on cross-subsidisation , where one arm of the company provides the service while another creates this.

Revenues

400

Thanks to this V, there’s no time to make popcorn -
more than 500 hours of video content is uploaded to YouTube every minute.

Velocity

500

The UN Secretary-General on data science really has a finger on the pulse of innovation with this initiative, which promotes big data solutions for sustainable development.

Global Pulse 

500

Big Data can come from many sources and be freely available or shh! - it could also be from this.

Private or Secret Sources

500

This Big Data marketing technique might detect when a company’s logo appears in an image online, but it could also lead to the not-so-delicious
Hipster Onion Ring Problem.

Social Listening

500

A large online platform may benefit from first-mover advantage so much that it becomes an overnight ___, not so much fun for regulators.

Monopoly

500

The most important outcome of aligning the 4 Big Data Vs is this, a 5th V.

Value

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