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Open dataPotential into practice

Dr Harvey Lewis, 15 July 2014 © 2014 Deloitte LLP. Private & Confidential

© 2014 Deloitte LLP. Private and confidential.

Data, data, everywhere

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How much data is out there?

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How much open data is out there?

• >8m data sets (estimate)

• >370initiatives, nationally, regionally or globally

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Lateral Economics and Omidyar NetworkScope: G20, cumulative value over 5 years

£7.6 trillion

The value of open data

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£1.75 trillion

McKinseyScope: Global

£32 billion, VickeryScope: EU, per annum

£6.8 billion, DeloitteScope: UK, 2011

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Higher education is already open

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Higher education data

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What types of HE data are there?

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Timetables Administrativedata

Financial data Planned works

Application andadmissions data

Research data

Maps, estateand facilities data

Student andperformance data

Staff data Course data Environmentaldata

Alumni andhistorical data

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Who benefits from HE data?

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Students

Staff

Visitors

Businesses

Universities

Local community Local and nationalauthorities

Media

Schools Entrepreneurs

Charities

Suppliers

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Using open data in higher education

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UK open government data

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37,500 datasets:

data.gov.ukwww.ons.gov.uk

data.london.gov.ukEconomy

Government spending

Health & social care

Labour market

Personal finances

AgriculturePlanningSocial

conditions

Arts,sports &

recreation

Energy,resources& utilities

Housing

Transport

Geospatial

Business

Demographics

Environment Governmentoperations

Populationhealth

Education

Crime &justice

2.7m downloads:

data.gov.ukwww.ons.gov.uk

data.london.gov.ukDemographics

Economy

Labour market

Governmentoperations

Health & social care

AgriculturePlanning

Arts, sports &recreation

Energy,resources& utilities

Housing

Transport

Geospatial

Populationhealth

Business

Social conditions

Personal finances

Government spending

Crime & justice

Education

Environment

Supply

Demand

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What’s out there and how is it related?

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How are other organisations using open data?

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ExternalOpendata

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How are other organisations using open data?

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ExternalOpendata

Externalsocial mediadata

Externallicensed

data

Internal operational

data

Internalstudent

data

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Getting started

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An open data roadmap

Identify opportunities

Assess data and capabilities

Identify and define use cases

Implement pilots and prototypes

Adopt strategic ones in production

� Identify strategic priorities and ask crunchy questions

� Assess� Assess data landscape including quality, accuracy, scope� Assess analytics capabilities including people and skills

� Based on the assessments and business priorities, identify and prioritise open data use cases

� Identify tools, technologies and processes to implement pilots. Define and calculate metrics on incremental value added

Prioritise and implement successful, high value initiatives

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The analytics iceberg

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Summary

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Image source: NASA/courtesy of nasaimages.org.

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