Download - Future of E-Government
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70 Jahre Arthur Winter
FUTURE OF E-GOVERNMENT
Donau-Universität Krems.
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Wie würde Max Weber sein Bürokratiemodell im Zeitalter der
vernetzten Wissensgesellschaft definieren?
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Mobility
Digitalization
Connectivity Intelligence
Source: Parycek, Simonitsch, Fandler, Müller
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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, …
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#datadriven
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FaktorenTranspoart
mitt
el
Wetter
Car2GoBike2Go
GesundheitLuftwerte Verkehrsfluss
Uber
Taxi
Unfallstatistik
Öffis
Kosten
Zu Fuss
cc by tobi_digital
MitfahrApp
…
…
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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” -
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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
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#dataanalytics
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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
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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
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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
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MixIt: Netflix Challenge
Combination of algorithms Combination of internal and external data!
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Early
-War
ning
Syst
em
Prognosis &Scenario
ExecutionDecision
Evaluation DecisionCycle
Decision Cycle
Source: Donau-Universität Krems, Centre for E-Governance
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#collaboration
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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?
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Förderung der Teilnahme an politischen Prozessen, z.B.: Initiativrechte
Beispiel: https://www.wien.gv.at/petition/online/
Zur Gebietskörperschaft passende Prozesse
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Entwicklung von Innovations- & Kooperationsmodellen, z.B.: Code 4 Europe
http://codeforeurope.net/
Nutzung der externen Ressourcen Impulse und Inhalte
für die konkrete Zielerreichung
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Early
-War
ning
Syst
em
Prognosis &Scenario
ExecutionDecision
Evaluation DecisionCycle
Decision Cycle
Source: Donau-Universität Krems, Centre for E-Governance
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#change
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TRADITIONALORCHESTRA
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JAZZ GOV
NameTitle of Presentation
CC by imagesfrugales
SMALLAGILE & FLEXIBLERAPID PROTOTYP
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Dr. Peter Parycek, MScDonau-Universität Krems
Zentrum für E-Governance+43 2732 893-2312