tivit interactive: open data value network
DESCRIPTION
TIVIT Interactive webinar presentation.TRANSCRIPT
OPEN DATA VALUE NETWORK Next Media Hyperlocal
Tomi Kinnari
Aalto University School of Business
Researcher 19.9.2012
Open Data
• Open source, open content, public sector information re-use, open knowledge, open notebook science, ..
– Freely available on the net, with a license allowing commercial re-use
– Can be published by government or private sector
• Prime Minister Katainen’s Government program 2011
– “Information resources produced using public funding will be opened up for public and corporate access”
19.9.2012 http://blogit.hs.fi/hsnext/tallaista-datajournalismia-syntyi-hs-open-5ssa
Business aspects of open data
• Business model analysis
– Offering
– Resources
– Relationships
– Revenue model
– Management mindset
• Method
– Case study with 14 Finnish companies
• Results
– Business model analysis
– Finnish open data value network
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14 Companies were interviewed
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The identified open data value network in Finland
Five value network profiles were identified
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1. Extract & Transform
• Extract and transform as part of data analyzing
– Data extraction and transformation is necessary before any data analysis can be performed
• Extract and transform as separate business
– No commercial activity has yet risen
– Example: pro-bono soRvi toolkit by Louhos shows lots of potential
• Revenue model: none yet
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2. Data Analysers
• Data visualizers
– Create novel visualizations combining open data from different sources
– Example: Hahmota taxtree offers unique visualization method
• Algorithm based analysis
– Example : Asiakastieto with 40 M€ revenue
• Revenue model
– Project work
– Transaction based pricing
– Modular ecosystem
– Pro-bono
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3. User Experience Provider
• Utilize open data to create an attractive website or a mobile client
– Most popular (7 out of 14 companies)
– Example: Duunitori.fi plots job openings on a map and enriches them with other data sources
• Revenue model
– Advertisements
– One-time fee
– Subscription
– Crowd funded
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4. Commercial Data Publisher
• Co-creation with open license
– Example: HSL Reittiopas – ReittiGPS. HSL saves client development and maintenance costs. ReittiGPS gets revenue from selling the application in Appstore.
• Co-creation with restricted license
– Example: The Guardian Open Platform or Google Maps API
– Pricing of the API needs to be well thought to encourage grassroots activity
• Revenue model: cost savings with crowd sourcing
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Findings about open data
• Versatile revenue models, especially with user experience providers
• Extract & transform lacks commercial activity
• Standardized APIs and information formats important for the scalability and continuity of the open data business
• The value of raw data is 0 €, without an service adding value to it
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How to utilize these results?
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Simplified Open Data Value Network
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Open Data Value Network from Media Perspective
Media companies have similar role as user experience providers
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Open Data Value Network from Media Perspective
Two avenues of opportunities
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