What's our business? Statistics as platform. International Marketing and Ourtput DataBase Conference (IMAODBC) 2011. Óbidos, Portugal, 19-23 September 2011. This presentation won the Bo Sundgren Award.

1. What’s our business? Statistics as platform 19 – 23 September 2011 Óbidos, Portugal IMAODBC Xavier Badosa Statistical Institute of Catalonia

2. What’s our business?

3. Who is our customer?

4. Who is our customer? The Government 1

5. Who is our customer? = The Government = direct user 1 end user

6. Who is our customer? The Government 2

7. Who is our customer? The Government,political parties, thepress, universities, researchcenters, marketresearch firms... 2

8. 3

9. 3

10. I. II. III.

11. A user-controlledmedium I. II. III.

12. Production Distribution Consumption

13. Production Distribution Consumption

14. Production Distribution Consumer

15. Production Distribution Consumer

16. Production Distribution Prosumer

17. Production Distribution Prosumer data

18. Production Distribution Prosumer data public

19. Production Distribution Prosumer data public raw

21. A user-controlledmedium I. A network of middlemen II. III.

22. Larry Page & Sergey Brin

23. SEO SearchEngineOptimization Larry Page & Sergey Brin

24. Larry Page & Sergey Brin

25. directusers ≠ endusers Larry Page & Sergey Brin

26. A user-controlledmedium I. A network of middlemen II. A diverseenvironment III.

29. AndrewSavikas

30. A user-controlledmedium I. REUSE A network of middlemen II. A diverseenvironment III.

31. “To useagain”

32. “To use again” elsewhere

33. in a new way “To use again” elsewhere

34. Malleability elsewhere

35. Malleability Ease of transformation elsewhere

36. Malleability Mobility

37. Malleability Ease of transportation Mobility

38. Malleability Mobility

39. Malleability Mobility

40. Malleability Mobility

41. Idescat Users Mobility Reversing thecommunication initiative

42. Users End users Developers

43. Users End users Developers End users

44. Users End users End users Developers End users

45. End users End users

46. End users End users

47. End users End users

48. End users End users

49. End users End users

50. End users End users

51. End users End users

52. End users End users

53. End users End users

54. End users End users

55. End users End users

56. End users End users

57. End users End users via

58. End users End users oEmbed via

59. End users End users

60. 30 dimensions 946 mun. 53 metrics 41 counties 4 topics 3 languages

61. End users End users

62. Developers End users

63. Developers End users

64. Developers End users

65. Developers End users

66. http://api.idescat.cat Developers End users

67. http://api.idescat.cat Developers End users

68. PopulationSearch API

69. Atom PopulationSearch API

70. Atom PopulationSearch API OpenSearch

71. Atom PopulationSearch API OpenSearch SDMX

72. Atom Rectifications API OpenSearch

73. Atom Rectifications API OpenSearch

74. Atom Rectifications API OpenSearch

75. Atom Rectifications API OpenSearch

76. Atom Rectifications API OpenSearch

77. Atom Rectifications API OpenSearch

80. Developers End users

81. Developers End users

82. Developers End users

83. Developers End users

84. Developers End users

86. API D A T A

87. Container Content D A T A

88. User interface API Data interface

89. Fromstatistics as a product

90. Fromstatistics as a product tostatisticsasani n f r a s t r u c t u r e

91. Fromstatistics as a product Building thestatisticalinfrastructure of society tostatisticsasani n f r a s t r u c t u r e

92. Success metrics?

93. pageviews? visits? unique visitors? Success metrics?

94. pageviews? visits? unique visitors? Business model? Success metrics?

95. pageviews? visits? unique visitors? Business model? Success metrics?

96. pageviews? Wedon’toperate in the eyeballmarket visits? uniquevisitors? Business model? Successmetrics?

97. pageviews? Wedon’toperate in the eyeballmarket visits? uniquevisitors? Weoperate in the reference market Business model? Success metrics?

98. reference market

99. maximum data exposure & reach reference market

100. maximum data exposure & reach accuracypreservation reference market

101. maximum data exposure & reach accuracypreservation reference market brandrecognition

112. PTOLEMAIC STATISTICS

113. Statistics as publishing

114. Statistics in thecloud

115. Ubiquitous Statistics

116. Dissemination products Statisticsas platform

117. Dissemination products Statisticsas platform “O.S.”

118. “Apps” Statisticsas platform “O.S.”

119. General-purpose “Apps” Statisticsas platform “O.S.”

120. General-purpose “Apps” Third-party “Apps” thatsolvespecificneeds Statisticsas platform “O.S.”

121. General-purpose “Apps” Statisticsas platform “O.S.”

122. Thankyou! More at http://xavierbadosa.com

123. Dan Taylor borman818 / Daniel Borman ShironekoEuro JoshBancroft jakevance / Jacob Vance Prizmatic Mick ㋡rlosky Michelle Kinsey Bruns spinneyhead

124. WikimediaCommons NASA http://en.wikipedia.org/wiki/File:The_Earth_seen_from_Apollo_17.jpg Leonardo da Vinci http://en.wikipedia.org/wiki/File:Uomo_Vitruviano.jpg PD Johannes van Loon http://en.wikipedia.org/wiki/File:Cellarius_ptolemaic_system_c2.jpg PD Boffy b http://en.wikipedia.org/wiki/File:IBM_PC_5150.jpg WilliHeidelbachhttp://en.wikipedia.org/wiki/File:Metal_movable_type.jpg Xavier Badosa PD

125. Photos of products and webpageshavebeentakenfromtherespectivecompanies’ websites. Men with hats, © by the copyright owners of the respective movies. TractatusGeorgiiPeurbachii super propositionesPtolemaei de sinubus & chordis (1541 ed.) by Georg von Peurbach & Joannes Regiomontanus, © Mark Richards, taken from the Computer History Museum website. 1993 Mosaic webpage, © Board of Trustees of the University of Illinois, taken from the Computer History Museum website. Larry Page and Sergey Brin photo, taken from money.cnn.com but seems to be an official Google picture. Authorunknown http://www.taltopia.com/media/6/6374/SPERM-ART.jpg