future of e-government

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70 Jahre Arthur Winter FUTURE OF E- GOVERNMENT onau-Universität Krems.

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Präsentation im Rahmen des Symposiums 70 Jahre Arthur Winter bei OCG Österreichische Computergesellschaft Wien 2. Oktober 2014

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Page 1: Future of E-Government

70 Jahre Arthur Winter

FUTURE OF E-GOVERNMENT

Donau-Universität Krems.

Page 2: Future of E-Government

Wie würde Max Weber sein Bürokratiemodell im Zeitalter der

vernetzten Wissensgesellschaft definieren?

Page 3: Future of E-Government

Mobility

Digitalization

Connectivity Intelligence

Source: Parycek, Simonitsch, Fandler, Müller

Page 4: Future of E-Government

Digital GovernanceStrategisch-politischer Rahmen

Technology• IT-Services• Data• Infrastructure

Organisation• Aufbau• Ablauf

Kultur• Führung• Personalentwicklung• Stakeholder

Recht• Rechtlicher Rahmen• Regulierung

• Interoperabilität• Open Closed• Intern Extern• Beteiligungsmodelle

• Kooperationsmodelle (Communities)• Sharing (Daten Ressourcen)• Agil, Smart, Secure, Beta, …

Page 5: Future of E-Government

#datadriven

Page 6: Future of E-Government

FaktorenTranspoart

mitt

el

Wetter

Car2GoBike2Go

GesundheitLuftwerte Verkehrsfluss

Uber

Taxi

Unfallstatistik

Öffis

Kosten

Zu Fuss

cc by tobi_digital

MitfahrApp

Page 7: Future of E-Government

? ? ? ?

cc Dwonderwall

Page 8: Future of E-Government

? ? ? ?? ? ? ?? ? ? ?? ? ? ?

cc melburnian

Page 9: Future of E-Government

Ministerien

Länder

Kommunen

ELAK Land & BH

ELAK/SAP (horizontal)

Interne Daten- & Informationsflüsse

ELAK in und zwischen Gemeinden

Zentrale Register (vertikal)

Vernetzung der ELAK-Systeme

(vertikal)

Objekte

Unternehmen

Personen

“E-Government ist eine Schönheit, die von innen kommen muss” -

Page 10: Future of E-Government

Open (Gov) Data Portale

www.data.gv.at

UN Public Service Award

Page 11: Future of E-Government

Exte

rnal

Inte

rnal

DataGovernance

Closed internal Data

Open APIs / Cloud Services / …

OpenData

Second & Third Party

Data

DatabasesFile

SystemsData

Marts

FirstParty Data

User Generated

Content

DataSOA / MDM

Business Intell.

Data Mining

Visualization

Big Data Analytics

……

Source: Donau-Universität Krems, Centre for E-Governance

Page 12: Future of E-Government

#dataanalytics

Page 13: Future of E-Government

Brand New?Term Time Frame Specific MeaningDecision support 1975-1985 Use of data analysis to support

decision makingExecutive support 1980– 1990 Focus on data analysis for decisions by

senior executivesOnline analytical processing (OLAP)

1990– 2000 Software for analyzing multidimensional data tables

Business intelligence 1989– 2005 Tools to support data-driven decisions, with emphasis on reporting

Analytics 2005– 2010 Focus on statistical and mathematical analysis for decisions

Big data 2010– present Focus on very large, unstructured, fast-moving

Source: Big Data at Work: Dispelling the Myths, Uncovering the OpportunitiesThomas H. Davenport

Page 14: Future of E-Government

Big Data vs. Traditional Analytics

Big Data Traditional Analytics

Type of Data Unstructured formats Formatted in rows and columns

Volume of Data 100 Terabytes to petabytes Tens of terabytes or less

Flow of Data Constant flow of data Static pool of Data

Analysis methods Machine learning Hypothesis based

Source: Big Data at Work: Dispelling the Myths, Uncovering the OpportunitiesThomas H. Davenport

Page 15: Future of E-Government

Three Analytic Shifts

• End of Causality Correlation& Patterns

• End of Exactitude• End of Samples

Source: Big Data: A Revolution That Will Transform How We Live, Work and ThinkViktor Mayer-Schönberger, Kenneth Cukier

Page 16: Future of E-Government

MixIt: Netflix Challenge

Combination of algorithms Combination of internal and external data!

Page 17: Future of E-Government

Early

-War

ning

Syst

em

Prognosis &Scenario

ExecutionDecision

Evaluation DecisionCycle

Decision Cycle

Source: Donau-Universität Krems, Centre for E-Governance

Page 18: Future of E-Government

#collaboration

Page 19: Future of E-Government

Integration aller gesellschaftlicher Gruppen

Asymmetrie der BetroffenheitWer betroffen ist, organisiert seine Beteiligung besser und kann besser Einfluss ausüben.

Wie kann Chancengleichheit in der Gesellschaft gewährleisten werden?

Page 20: Future of E-Government

Förderung der Teilnahme an politischen Prozessen, z.B.: Initiativrechte

Beispiel: https://www.wien.gv.at/petition/online/

Zur Gebietskörperschaft passende Prozesse

Page 21: Future of E-Government

Entwicklung von Innovations- & Kooperationsmodellen, z.B.: Code 4 Europe

http://codeforeurope.net/

Nutzung der externen Ressourcen Impulse und Inhalte

für die konkrete Zielerreichung

Page 22: Future of E-Government

Early

-War

ning

Syst

em

Prognosis &Scenario

ExecutionDecision

Evaluation DecisionCycle

Decision Cycle

Source: Donau-Universität Krems, Centre for E-Governance

Page 23: Future of E-Government

#change

Page 24: Future of E-Government

TRADITIONALORCHESTRA

Page 25: Future of E-Government

JAZZ GOV

NameTitle of Presentation

CC by imagesfrugales

SMALLAGILE & FLEXIBLERAPID PROTOTYP