Dear Sourcesense, don't you think it's time to make sense of #opendata as well?


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This presentation is a subset of a larger R&D plan I presented to Sourcesense about opportunities and challenges around open data

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Dear Sourcesense, don't you think it's time to make sense of #opendata as well?

  1. 1. “Sourcesense is a European OpenSource systems integrator providing consultancy, support and services around key Open Source technologies.”background
  2. 2. key technologiestalents and experts consolidated business products licensing communities background
  3. 3. “By 2016, OSS will be included inmission-critical software portfolios within99% of Global 2000 enterprises, upfrom 75% in 2010.” Gartner Predicts 2011: Open-Source Software, the Power Behind the Throne background
  4. 4. companies level of expertise with open source software60.00%40.00% 20.00% no expertise a little expertise 0% deep expertise background some expertise
  5. 5. “Change”Maurizio Nannucci,Peggy Guggenheim collection
  6. 6. job trends 400000 300000 200000 100000 01 Jan 2008 1 Jan 2009 1 Jan 2010 insights 1 Jan 2011 1 Jan 2012 alfresco hadoop nosql solr
  7. 7. R&D expenditures (billion euros) by industry 0 20 40 60 80 Banks Food Oil and gasHealth care equipement Fixed line telecom General industrials Industrial engineering Leisure goods Aerospace and defence Chemicals Electronic equipment Software Automobiles Technology hardware Biotechnology insights
  8. 8. “More than 85% of Fortune 500 organizations will fail toeffectively exploit big data for competitive advantagethrough 2015.” “Low-cost cloud services will cannibalize up to 15% of top outsourcing players revenue by 2015.”“The use of open data could be a criticalfactor in determining the success or failure of theUKs growth” insights
  9. 9. big data
  10. 10. More powerful and expressive tools for analysisStreaming data processing Rise of data market placesDevelopment of data sciencedata visualization big data
  11. 11. Storm big data
  12. 12. open data
  13. 13. “I think we are about to see a wave ofexciting new startups based aroundfreely-available data, some ofwhich could well grow to significant size” “Of Open Data Startups and Open Businesses” - Glyn Moody open data
  14. 14. “the vision for which Roadify stands: apersonalized and connected commutingexperience that’s empowered byOpen Data and fellowcommuters in real-time.”open data
  15. 15. Representing  a breakthrough in theway public data can be usedto empower citizens, TubeTap has beenbuilt entirely using open data fromTransport For London’s and TfL’s travelAPI.  open data
  16. 16. 70.000% 52.500% 35.000% 17.500%extraction and trasformation tools viz tools for charting multi-formats exports common APIs across datasets 0% Web-based discovery tools tools to promote participation analytics about consumption open data most helpful enabling technology for open data adoption
  17. 17. developers point of view 60.00% 45.00% 30.00% 15.00% most important somewhat important 0% open data unsurethe right dataan open API to access databetter data qualityability to find authoritative data sourcesbetter metadata docs
  18. 18. Opening up data is about a paradigm shift data as a commoditya new value-chain: from rawdata sets to high value businesses open data
  19. 19. the open data economy is aboutsupplying the value-chain tools and service for data discovery management (publishing, licensing, curation ...) (big) data analysis mashups (record-linkage, disambiguation ...) open data
  20. 20. are you ready?
  21. 21. Davide Palmisano@dpalmisanoWeb of Data engineerTechnology passionateShoreditch lover /me
  22. 22. slide 1 - the wordle is made with with the text speech of Tim Berners-Lee “The yearopen data went worldwide” TED talk, 5 - the chart has been made with data coming from 7 - the chart has been made using the data from indeed - values are not exactly the same butthey reflect the tendencies. See 9 - data from ‘Innovation Union competitiveness’ - 11 - the chart is the worlwide mapping of Facebook friendship relationships. See: 18 and 19 - 2010 OPEN GOVERNMENT DATA BENCHMARK STUDY. See: rdfs:seeAlso