1. BigData Innovation Summit, Toronto Jordan Christensen June 20th 2013

2. WHO AM I? 3. JORDAN CHRISTENSEN VP BIGDATA, KOBO INC JC@KOBO.COM @thebigjc 4. FIRST GROUP OF EMPLOYEES BROUGHT OVER FROM INDIGO 5. MOST IMPORTANTLY IM A NERD 6. NERDS KOBO IS FULL OF 7. BOOK NERDS COMPUTER NERDS GADGET NERDS MATH NERDS 8. NERDS ARE WHO WE ARE NERDS MAKE US GREAT 9. NERDS LOVE DATA AND ARE DATA DRIVEN 10. KEEP DATA ALL OF IT 11. FPO 1ST BOOK WE EVER SOLD $15.39 12. ASK QUESTIONS ANSWER WITH DATA 13. AN EREADER? WHAT IF WE MADE 14. LAUNCHED IN MAY 2010 LOW FRILLS - $149 15. DEVICE WASNT SPECACULAR BUT THE CUSTOMERS WERE 16. Apps 60% Web 40% MAY 2010 17. Apps 29% eReader 40% Web 31% DECEMBER 2010 18. 25% more books 19. 25% more books 150% more books 20. 5 AWARD WINNING PRODUCTS IN MARKET 21. MARGINS 22. NEED TO GET GOOD AT HELPING CUSTOMERS FIND BOOKS 23. STARTED KOBO BIGDATA MARCH 2012 USE DATA HELP CUSTOMERS 24. simple models and a lot of data trump more elaborate models on less data. - Halevy, Norvig and Pereira 25. A LOT READERS CREATE OF DATA 26. IN THE STORE VISIT SEARCH BROWSE BUY 27. ON THEIR EREADER READ BOOKMARK HIGHLIGHT SHARE 28. BUILT A SMALL GROUP 3 SCIENTISTS ONE DEVELOPER ONE MANAGER 29. SIMPLE MODELS LOTS OF DATA 30. BIGDATA AS A PROFIT CENTRE 31. WHERE CAN DATA IMPROVE OUR BUSINESS? 32. SEARCH 33. LEARN TO REPLACE LEARN TO RANK 34. ? 35. 5% 36. ADD A SYNONYM? NOPE BIGDATA! 37. P(Correction)P(Conversion) > P(Conversion w/o Correction) REPLACE! 38. King -> Stephen King Dr. Who -> Doctor Who THOUSANDS MORE! 39. LEARN TO REPLACE LEARN TO RANK 40. ? 41. ASK AN EXPERT WE HAVE BOOK NERDS! 42. ASK AN EXPERT? NOPE BIGDATA! 43. GLOBAL ORDERINGS NOT JUST PER-QUERY 44. BOOKS 45. HOW DO WE IMPROVE RECOMMENDATIONS? 46. EASY RIGHT?! 47. ? ARE THEY THE SAME? 48. USE METADATA? 49. REGIONAL VARIATIONS MISPELLINGS AUTHOR ABREVIATIONS 50. USE METADATA? NOPE BIGDATA! 51. USE METADATA? NOPE BIGDATA! 3.5-MILLION TITLES 68 LANGUAGES FULL TEXT! 52. COMPARE ALL THE WORDS TO ALL THE OTHER WORDS STATISCAL MATCHES 53. 79 COPIES 54. 79 78 COPIES 55. 50 COPIES 33 COPIES 56. 41 COPIES 57. 7 COPIES 58. 59. SOMETIMES INCIDENTAL BENEFITS 60. DUPLICATE BOOK USUALY PIRATED EARLY DETECTION 61. TIPPING POINT DATA HAS A 62. THOUSANDS = POOR RESULTS MILLIONS = GOOD RESULTS BILLIONS = GREAT RESULTS 63. FIRST YOU GET THE DATA THEN YOU BUILD THE TEAM THEN YOU GROW THE BUISINESS 64. THANKS! JC@KOBO.COM