Open Data Value Network
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Transcript of Open Data Value Network
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Open Data Value Network
Tomi Kinnari, Aalto University School of Business
Juho Lindman, Hanken School of Business
Matti Rossi, Aalto University School of Business
20.9.2012
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Identifying value network of open data
• Business model analysis
– Offering
– Resources
– Relationships
– Revenue model
– Management mindset
• Method
– Case study with 14 Finnish companies
• Time of interviews
– March-May 2012
20.9.2012
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14 Finnish companies were interviewed
20.9.2012
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Apps 4 Finland as a starting point for
selecting the companies
20.9.2012
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Five 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: soRvi toolkit by
Louhos shows lots of potential
• Revenue model: none found
20.9.2012
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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
20.9.2012
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3. User experience provider
• Utilize open data to create
attractive website or 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
20.9.2012
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4. Commercial data publisher
• Co-creation with open license
– Example: With Reittiopas API
HSL saves client development
and maintenance costs
– Example: Helsingin Sanomat
Vaalikone data publishment
• Co-creation with restricted
license
– Example: The Guardian Open
Platform
• Revenue model: cost savings
with crowd sourcing and co-
creation
20.9.2012
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General findings
• Private data publishing holds
lots of potential
• Extract & transform lacks
commercial activity in Finland
• 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
20.9.2012
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Example:
How to utilize the results?
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Simplified Open Data Value Network
20.9.2012
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Media companies positioned similarly as
user experience providers
20.9.2012
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Two opportunity avenues
20.9.2012