met big bezig? data and analytics presentati… · 2 presentatie big data: big challenge, big...

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Presentatie Big Data: BIG challenge, BIG threat, BIG value or…. BIG hype?

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©All Rights Reserved 2016

BIG data:

BIG challenge, BIG threat, BIG value or…. BIG hype?

STOHA congres: De civiele ingenieur in 'The Matrix‘19 mei 2016


Objectives

Objectives/Agenda1) BIG data What is different?2)Why is BIG data relevant?3)How can big data drive business model innovation?4) Inspire: examples of data‐driven business innovation.

5) ?


Prof. Dr. J.F.M. (Frans) FeldbergProfessor Data‐Driven Business InnovationFaculty of Economics & Business AdministrationVU University AmsterdamDepartment: Information, Logistics and Innovation

Business Consultant.

FransFeldberg

[email protected]

INTRO

Knowledge, Information and Innovation (www.kinresearch.nl)

Research/Education:• Business Intelligence & Analytics/BIG data• Data‐driven business model innovation• Online decision making (DSS & GDSS)• Online (buying) behavior(emerging technologies)


• Business Administration & Mathematics & Computer Sciences& ….• Bachelor and Master Business Analytics• Multidisciplinary Research Center• Eco System: Businesses & Science• One stop shop: Access to all relevant academic Expertise

• Post Graduate Education: Business Analytics & Data Science (http://www.feweb.vu.nl/nl/opleidingen/postgraduate‐opleidingen/business‐analytics/index.aspx )

INTRO

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(BIG) Data…… What is going on?

Met Big data bezig?



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BIG Data…… Hype, kans of bedreiging?



Some quotes:

• “….Bedrijven gaan er heel veel mee doen en aan verdienen….”

• “…..Voor een kennisland als Nederland geeft dit enorme mogelijkheden…”

• “…..Je kunt een bedrijf starten die de bestaande informatie gaat vergaren, je kunt een service starten die informatie bij elkaar verzamelt en beschikbaar maakt”

• “…..Je kunt technologie ontwikkelen die dit ondersteunt, of je kunt er diensten in verkopen, er zijn verschillende mogelijkheden om er heel snel iets mee te doen”…”

• “…..Ondernemers ruiken hun kansen met nieuwe diensten en nieuwe producten…”



What is BIG data?

(www.intel.com)


VOLUME VARIETY VELOCITY VERACITY

4 times different: 4V

What is BIG data?


What is BIG data?

VOLUME

“We’ve reached a tipping point in history: today more data is

being manufactured by machines, servers, and cell phones, than by people”

Michael E. Dricoll(CTO and co‐founder at Metamarkets)

“Today a street stall in Mumbai can access more information, maps, statistics, academic papers, price trends, futures markets, and data than a U.S. president could only a few

decades ago”

Juan Enriquez(founding director of the Life Sciences Project at HBS )

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What is BIG data?

VOLUME

How data is changing the car game for Ford.

Generates up to 25 GB of data per hour.


90%

Last 2 Ye

ars

BIG data

What is BIG data?

VOLUME

(McKinsey Global Institute, 2011)


What is BIG data?

VARIETY

•Structured data•Unstructured data


What is BIG data?

VELOCITY

Three aspects:•Speed of data creation•Speed of data processing•Speed of data analysis (delivery)


What is BIG data?

•Single Version of the truth…..

VERACITY

•1 in 3 business leaders don’t trust the information they use to make decisions.

(http://www‐01.ibm.com/software/data/bigdata/)


• Granular.• Unintentional (Expert‐based versus lay cultures). • Unmanageable.• Constant renewal/updating.

What is BIG data?

(Constantiou & Kallinikos, 2014)

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What is BIG data?

BIG data is more than simply a matter of size: it is also about creating insights!

Discovering what you don’t know you don’t know……


(Courtesy: Andrew McAfee)

New measurement tools give us new insights.Microscope marked a change in era (in an era of change) “GOLDEN AGE”

What is BIG data?


Rene Penning de Vries (Boegbeeld ICT MinvEz)

Onze toekomst in 6Ds1. Digitized2. Demonetized3. Democratized4. Delocalized5. Deceptive6. Disruptive

Why BIG data?

7. Datafied

Additional D added:


Moore’s Law

Imagine this will happen for a technology that is fundamental for businesses….

Why BIG data?


Why BIG data?


Erik Brynjolfsson & Andrew McAfee

Why BIG data?

Second Half of the Chessboard

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In technology strategy, the second half of the chessboard is a phrase, coined by Ray Kurzweilin reference to the point where an exponentially growing factor begins to have a significant economic impact on an organization's overall business strategy.

(http://en.wikipedia.org/)

Andrew McAfee: When do we enter the second half of the chessboard?

1958 + 32 * 1,5 = 2006

US Bureau of Economic

Analysis starts tracking IT

Moore’s Law doubling period

Why BIG data?


Why BIG data?


Why BIG data?


At some point a difference in degree becomes a difference in kind.

Why BIG data?

We leven niet in een tijdperk van veranderingenmaar in een verandering van tijdperken.

(Jan Rotmans)


http://nl.wikipedia.org/wiki/Zonnestelsel#mediaviewer/File:Planets2013.jpg

Why BIG data?


Why BIG data?

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Not only data, but also:

•Internet as a Service

•Cloud Computing

•High Performance Computing

•Crowd Sourcing

Why BIG data?

•Powerful Software (Open Source!)

•High Performance Analytics


Why BIG data?


Why BIG data?


Why BIG data?


Why BIG data?


Producten/Diensten

Markten

Bestaand

Nieuw

NieuwBestaand

Ontregelaar: wij of zij? Ontregelaar: wij of zij?

Ontregelaar: wij !!Ontregelaar: wij of zij?

Why BIG data?

The question is: To be disruptor or disrupted……

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“We view big data and big data analytics as the mother lode of disruptive change in a networked business environment.”

(Baesens, Bapna, Marsden, Vanthienen, Zhao, 2014)

Why BIG data?


Strategy making: New Games, New Rules!

Why BIG data?

(Constantiou & Kallinikos, 2014)

Nature of data and information

Standard Strategy Context Big data‐digital ecosystem

Relatively Homogeneous HeterogeneousStructured Unstructured or Semi‐structured

Purposeful, Theory‐driven Agnostic, Haphazard(“sorting in the way in”) (“sorting in the way out”)

Mono‐semiotic, Alphanumerical Trans‐semiotic (Text, Image, Sound)

Deductive, Top‐Down Inductive, Bottom‐Up

Long‐Term Horizon Short‐Term Horizon

Forecasting Nowcasting


The use of big data to craft strategy and business models:

(source: Woerner & Wixom (2015))

IMPROVE the business model

INNOVATE the business model

• New Data• New Insights• New Actions

• Data Monetization• Digital Transformation

How can Big Data drive Business Model Innovation?




IMPROVE the business model : New Data

Markets

Manufacturer

Trade Partners

Data Aggregators




DESCRIPTIVE

PREDICTIVE

PRESCRIPTIVE(how to achieve the best outcome?)


IMPROVE the business model : New Insights

(Davenport & Harris, 2006)©

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New Data + New Insights => New Actions

• Prescriptive


IMPROVE the business model : New Actions

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INNOVATE the business model

Data Monetization

Exchange of data based products and services for something of perceived value.

• Selling• Barter• Wrapping

Digital Transformation

Emergence of business ecosystems, coordinated networks of companies, devices, and consumers that create value.

Competition not defined by traditional industry offerings but by shared customers.



Data Monetization & Digital Transformation: some examples.


10 Top Apps For Eating Healthy(www.forbes.com)

Examples of data‐driven business innovation

©All Rights Reserved 2016http://www.marketingfacts.nl/



Myfitnesspal.com


©All Rights Reserved 2016Myfitnesspal.com


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http://nieuws.nl.softonic.com/gezondheid‐en‐fitness‐verkopen‐lifestyle‐apps‐jouw‐informatie

Data Monetization: selling.



Data Monetization: selling (aggregator)



(Source : nu.nl)

Data Monetization: barter



Data Monetization: wrapping



Digital Transformation: new ecosystem.





Retailer ‐> Insurances


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Digital Twins

(Source: http://www.gereports.com/digital‐twin‐technology‐changed‐formula‐1‐online‐ads‐planes‐trains‐power‐next/)

http://www.libelium.com/smart_roads_wsn_smart_infrastructures/©

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Impact business model.

Data‐driven business innovation

(Source: http://www.businessmodelsinc.com/method/businessmodelexamples/)


BIG data: Challenges, Risks

•Data Privacy and Ethics: BIG Dilemma’s!

•Data Obsession (“the dictatorship of data”)

•Data Quality: new paradigms?

•Skills: Data Scientists

•Energy


Question: “What are we going to do with the ‘new thing’”, must be changed in: “How are we going to change the old idea”!

What must be taken out of our head and left behind?

Big data: Big Change….


Big data: big change….

Journey……

Deceptive, Disruptive…..


www.datasciencealkmaar.nl

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Data Science Alkmaar

Data Science Alkmaar is een kennis‐ en innovatiecentrum waar regionale organisaties, overheden en wetenschap samenkomen om de kansen die big data en data science bieden te benutten ten behoeve van economische groei en ontwikkeling in Noord‐Holland Noord (www.datasciencealkmaar.nl)

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Wat

Laagdrempelig Verbinden!

Hoe Effect

‘Door de interactie versterken onderzoek, onderwijs,

overheid en ondernemerschap elkaar en zo ontstaat er een sterke basis voor economische groei en ontwikkeling voor de

regio Noord‐Holland Noord.’

• Ondersteunt bedrijven en overheden (gezamenlijke projectagenda, ondersteuning datagedreven struring)

• Stimuleert regionale bedrijvigheid

• Creëert zo een ondernemende broedplaats

• Ontwikkelt, stimuleert en voegt kennis en talent samen

• Biedt zo een laagdrempelig platform voor verbinding

Resultaten


Dank voor uw aandacht!

met big bezig? data and analytics presentati… · 2 presentatie big data: big challenge, big...

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