Open Data startups   @heri
What’s a startup?•   For-profit•   Technology based•   With a unique unfair advantage•   Not limited to geographical bounda...
Challenges• Raw data, sometimes not in a machine-  readible format• Open data often related to a country or a  city. Hardl...
Elements of an open    data startup
Clarity of purpose• Lots of noise in open data. Large diversity  of apps• Be able to summarize what you in the back  of a ...
Painkiller• Think about delivering something amazing:  pick one thing that is a burning importance  to a customer (painkil...
Large markets• Address big existing markets ready for  rapid change. A market with a $1 B  potential allows for error.
Customers• Is there anyone willing to pay?• Listing a few people who pay a premium for  your unique offering is a good firs...
Think differently• Challenge what’s existing and take the  contrarian route.• Idea: offer for free what’s sold by existing...
Technology is key• Spend only on great engineering. Be very  frugal on everything else• Focus on stealth and speed of iter...
Outlook• very few startups -- land grab!• lots of interest and “sympathy capital”• Wealth of data previously unavailable• ...
@heriheri@madmedia.ca
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Elements of open data startups

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Startups have clarity of purpose, is a painkiller, address a large market, have identifiable customers, take a contrarian path, and put technology at the heart of the company

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Elements of open data startups

  1. 1. Open Data startups @heri
  2. 2. What’s a startup?• For-profit• Technology based• With a unique unfair advantage• Not limited to geographical boundaries• Scalable, hockey stick curve growth when product- market fit• e.g. : airbnb, kickstarter, square, songza
  3. 3. Challenges• Raw data, sometimes not in a machine- readible format• Open data often related to a country or a city. Hardly scalable• Open data available to all, low barriers to entry• Often related to government services
  4. 4. Elements of an open data startup
  5. 5. Clarity of purpose• Lots of noise in open data. Large diversity of apps• Be able to summarize what you in the back of a business card... WITH LARGE LETTERS
  6. 6. Painkiller• Think about delivering something amazing: pick one thing that is a burning importance to a customer (painkiller) then deliver a compelling solution• Can processed open data solve an existing problem?
  7. 7. Large markets• Address big existing markets ready for rapid change. A market with a $1 B potential allows for error.
  8. 8. Customers• Is there anyone willing to pay?• Listing a few people who pay a premium for your unique offering is a good first sign.• Often, open data apps can’t identify customers
  9. 9. Think differently• Challenge what’s existing and take the contrarian route.• Idea: offer for free what’s sold by existing companies for a high price
  10. 10. Technology is key• Spend only on great engineering. Be very frugal on everything else• Focus on stealth and speed of iteration• Open data ideas: build superior intelligence and integration with other services
  11. 11. Outlook• very few startups -- land grab!• lots of interest and “sympathy capital”• Wealth of data previously unavailable• Being able to improve society
  12. 12. @heriheri@madmedia.ca

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