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| 1 | Big Data & Business Analytics The intelligent organization from a business perspective Higher Education June, 23rd, 2016 spacious, airy and free of disruption

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Big Data & Business Analytics

The intelligent organization from a business perspective

Higher Education

June, 23rd, 2016

spacious, airy and free of disruption

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Near 2020 we will surrounded by 26

billion devices that are connected

(IoT). Source: Gartner.

Each day 1,2 billion pictures are

made and many of them are shared

by social media. Photography will be

the new universal language (Brook,

2013).

Last 2 years more data is added to

this iceberg than in the total history

of mankind.

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And the value of Big Data

is:

DISRUPTION

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A 2011 report from McKinsey Global Institute projects that the

US alone will need 140,000 to 190,000 more workers with “deep

analytical” skills and 1.5 million more data-literate managers by

2018.

And the 2012 IBM Tech Trends Report finds that more than half

the IT and business decision makers say their organizations plan

to increase their investment in business analytics.

You can think of Microsoft buying Linkedin for $26.2 billion, as

the tech industry waking up and saying to itself, "It's the data,

stupid."

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“Data-driven decisions tend to be

better decisions. Leaders will

either embrace this fact or be

replaced by others who do”

Andrew McAfee (MIT)

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tijd om te beslissen

degree of change

time

organisations

change

logaritmic

technological

changes

are

exponential

Which technology to select andwhich not

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Multiplied by the

number of companies

(est. 125 million

worldwide)

you will get a huge

amount of dollars:

$1,000,000,000,000,000

235.000.000.000 EUR

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Hundred $100 dollar bills

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$1 million dollars (100 packets

of $10,000)

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$100 million looks a little more

respectable

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$1 BILLION dollars

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Ladies and gentlemen... I give

you $1 trillion dollars...x 1000

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My humble opinion:

Big Data equals Big

Money!

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One thousand trillion dollars

Ladies and gentlemen... $0,75

trillion dollars are going down

the drain only in 2016...x 1000

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Success and Business Intelligence & Big Data (1)

"Business Intelligence projects

are famous for low success

rates, high costs and time

overruns. The economics of BI

are visibly broken, and have

been for years."

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“More than a quarter of business intelligence

projects are "very successful," but use of BI

software is stuck at 25% of potential users.” Cindi

Howson

“Between 70% to 80% of corporate business

intelligence projects fail, according to research by

analyst firm Gartner.”

Success and Business Intelligence & Big Data (2)

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Impact on jobs

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90% workers and 10% thinkers at the start of the 20th century,

now it’s the other way around (Mintzberg)

Even farmers have to embrace Big Data today else they will be

out of business soon

Impact on jobs

cows

generate

more data

than milk

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90% workers and 10% thinkers at the start of the 20th century,

now it’s the other way around (Mintzberg)

Even farmers have to embrace Big Data today else they will be

out of business soon

Impact on jobs

cows

generate

more data

than milk

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Dancing with data adds to the show

fusion between data

science and art:

Project Asphyxia:http://www.asphyxia-project.com/

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The fire fighter

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2012: Big Data opens up the possibility

of instant fraud detection and live

auditing. PwC’s consulting practice in

Malaysia includes a forensics group

specialising in big data analytics.

Big Data and accountancy

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My conclusion: Big Data will

affect almost every

profession, it will be a

matter of time

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Will data be the 4th

industrial

revolution?

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Will data be the 4th

industrial

revolution?

Everything that

we formerly

electrified we will

now ‘cognitize.’

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More data

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But there is much more than Big Data

zero data

small data

bad data

corporate data

sensor data

dummy data

bored data

meta data

fast data

missing data

unstructured data

usage

data

open

dat

a

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A little test with big data…

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Business Intelligence (BI) is the

continuing process in which

organizations collect, store and

analyze data in a specific way in

order to apply the resulting

information and knowledge in

decision making processes to

improve the performance of the

organization

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Sensitief: zintuigen

Slim: brein

Snel: ledematen

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Big Data

Sensitief: zintuigen

Slim: brein

Snel: ledematen

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Cristiano Ronaldo crashes his

three day old Ferrari

Technology is not enough: you have to be able to drive!