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As the open data movement gains momentum, it becomes clear that there are substantial business opportunities to be seized through the use and publication of data. However, using open data can often present new risks which need to be managed. Drawing on some preliminary findings from an ongoing study of SMEs, corporate and public sector organisations, Tom Wainwright seek to provide insight into these issues.Dr Thomas Wainwright is a researcher based in the University of Southampton’s Centre for Innovation and Enterprise.
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Thomas Wainwright, Franz Huber Francesco RentocchiniThomas Wainwright, Franz Huber Francesco Rentocchini
Open wide? Open wide?
Some business opportunities Some business opportunities and risks in using open dataand risks in using open data
flickr/solarnu/14010523383
Early days: preliminary findings
What’s going on?
Systematic evidence from OD pioneers
(How) has OD (re) shaped business models?
What are the risks and how are they managed?
Non-academic (open!) practitioner report
Our story:what and why?
flickr/proudlove/6488864309
*Uncovering OD ecologies and communities…
U/I
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E/U
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* Additional research design information available
OD-CD Mix
ODAdoption
Motivations and value creation
Growth through open innovation
Save $ on proprietary data
Unique product
Chicken/egg: sector knowledge key
OD-centric activity concentrated in SMEs
Flickr: viciousbits/8635244042
Efficiency
Scalability
One off consultancy
Value: cleaning/support/analysis/repackaging/engagement data
generation
A Web of ‘stingy’ consumers
Implementation challenges
Dirty data
Lmtd cntxt
Fragmented micro-geo
Finding RELEVANT data
Is it ‘open’: ambiguity continues
Limited publication resource
What data have we got?!
Cultural infrastructure
Managing risk
Why bother: costs and monetisation
OPEN IN OPEN OUT
OD Risk Checklist
Format change
Copycat
OD closed
Legal: ownership and blame game
Ethical: protecting vulnerable
Use and abuse
Careful design: practices can violate OD principles…
OD-CD Mix
One size does not fit all: open innovation and growth
Key characteristics:Growth orientatedOpen innovation
Motivations:Free OD! –> complementary, low cost Specific OD needed
API for (global) growth -> scalable affiliate growth
Risk:Amateur developers -> invest resources and monetise relationsData governance–> API includes aggregated data of partners - requires tracking through API key - end user legal issues
Case 1: retail market maker
U/IE/U
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One size does not fit all: open innovation and growth
Key characteristics:Brand core assetGrowth orientated
Motivations:Free OD! –> complementary Avoid screen scraping -> accurate API
API for (global) growth -> open innovation
Risk:Stock availability -> ‘Hold Attack’Re-audit data risk
‘Poor quality partners’ and limited time
Case 2: online retail
U/INo OD! E/U
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Hackday, blogs, email, telephone, face-to-face
Engagement helps decide:
What to release How to release it
Engagement can:Enhance productsOpen innovationBe monetised
Building engagement,reduces risk…
Open data has costs:U/IE/U
P/I
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