Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

The Business of Big Data (IA Ventures)

0 views

Published on

Published in: Technology, Business
  • Be the first to comment

The Business of Big Data (IA Ventures)

  1. 1. The Business of BIG DATA<br />General Assembly<br /> September 14th, 2011<br />
  2. 2.
  3. 3. What we’ll cover<br />
  4. 4. What we’ll cover<br />What is Big Data?<br />Characteristics of a Big Data business<br />Creating competitive barriers in Big Data<br />
  5. 5. What we’ll cover<br />What is Big Data?<br />Characteristics of a Big Data business<br />Creating competitive barriers in Big Data<br />
  6. 6. What we’ll cover<br />What is Big Data?<br />Characteristics of a Big Data business<br />Creating competitive barriers in Big Data<br />
  7. 7. What we’ll cover<br />What is Big Data?<br />Characteristics of a Big Data business<br />Creating competitive barriers in Big Data<br />The Big Data team<br />
  8. 8. Why now?<br />
  9. 9. Why now?<br />There were 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days, and the pace is increasing<br />Eric Schmidt, Google CEO, Techonomy Conference, August 4, 2010<br />
  10. 10. Why now?<br />There were 5 exabytes of information created between the dawn of civilization through 2003, but that much information is now created every 2 days, and the pace is increasing<br />Eric Schmidt, Google CEO, Techonomy Conference, August 4, 2010<br />Data is becoming the new raw material of business: an economic input almost on a par with capital and labour. “Every day I wake up and ask, ‘how can I flow data better, manage data better, analyse data better?” says Rollin Ford, the CIO of Wal-Mart. <br />Source: Data, Data Everywhere, The Economist, February 25, 2010<br />
  11. 11. Source: Mike Driscoll, CTO Metamarkets: The Three Sexy Skills of Data Scientists (& Data Driven Startups)<br />
  12. 12. Source: Mike Driscoll, CTO Metamarkets: The Three Sexy Skills of Data Scientists (& Data Driven Startups)<br />
  13. 13. What is Big Data?<br />
  14. 14. Big Data = Complex Data<br />Large<br />Real-time<br />
  15. 15. Large<br />
  16. 16.
  17. 17. Real-time<br />
  18. 18. So what is a Big Data company?<br />
  19. 19. A Big Data company unlocks intelligence from complex data<br />
  20. 20. IA Ventures invests in early-stage companies unlocking intelligence from complex data<br />
  21. 21. history of big data<br />
  22. 22.
  23. 23.
  24. 24. Search Engine<br />
  25. 25. Search Engine<br />Crawl the web<br />Query<br />
  26. 26. Search Engine<br />Crawl the web<br />Computation<br />Query<br />Storage<br />
  27. 27. Storage<br />Computation<br />
  28. 28. Storage<br />Computation<br />
  29. 29. Distributed<br />Storage<br />Computation<br />
  30. 30. Distributed Storage<br />Distributed Computation<br />Map Reduce<br />Big Table<br />
  31. 31. Distributed Storage<br />Distributed Computation<br />Map Reduce<br />Big Table<br />Hadoop<br />HBase<br />
  32. 32. Distributed Storage<br />Distributed Computation<br />
  33. 33. Distributed Storage<br />Distributed Computation<br />
  34. 34.
  35. 35. So you want to start a big data company?<br />
  36. 36. 11101000101001000100101111010101<br />What is a Big Data Company<br />Source Data<br />00101010001010000101010<br />1001011010010100010111<br />Do Smart Stuff<br />Product<br />010100001010010101011111010101010010<br />
  37. 37. Others Data<br />Your Data<br />Data-driven Product<br />Landscape<br />Source of Data<br />DataProduct<br />Final Product<br />
  38. 38. Data Only From Others Platforms<br />Others Data<br />Landscape<br />Source of Data<br />Hybrid<br />Your Data<br />Data Only From Your Platform<br />Data-driven Product<br />DataProduct<br />Final Product<br />
  39. 39. Others Data<br />Landscape<br />Source of Data<br />Your Data<br />Sell Data Directly<br />Sell Insight<br />Sell Product<br />Data-driven Product<br />DataProduct<br />Final Product<br />
  40. 40. Others Data<br />Your Data<br />Data-driven Product<br />Landscape<br />Source of Data<br />DataProduct<br />Final Product<br />
  41. 41. Moats<br />
  42. 42. Competitive Barriers<br />
  43. 43. Competitive Barriers<br />Data Network Effects<br />
  44. 44. Competitive Barriers<br />Data Network Effects<br />Data Economies of Scale<br />
  45. 45. Network Effects<br />Traditionally think of….<br />‘Network graphs’<br />
  46. 46. Network Effects<br />Traditionally think of….<br />‘Network graphs’<br />Marketplaces<br />
  47. 47. Network Effects<br />Within the data eco-system…<br />No network effects<br />
  48. 48. Data Network Effects<br />Within the data eco-system…<br />
  49. 49. Data Network Effects<br />Within the data eco-system…<br />
  50. 50. Economies of Scale<br />Traditionally think of….<br />
  51. 51. Data Economies of Scale<br />Within the data eco-system…<br />5. Increased user engagement and more data<br />1. Product<br />4. Product evolves<br />2. Users<br />3. Data<br />
  52. 52. Data Economies of Scale<br />Within the data eco-system…<br />5. Increased user engagement and more data<br />1. Product<br />4. Product evolves<br />2. Users<br />3. Data<br />
  53. 53. Big Data Team<br />
  54. 54. Big Data Team<br />Data science<br />Scalable distributed architectures <br />
  55. 55. Big Data Team<br />Data DNA<br />
  56. 56. Thank you!<br />Ben Siscovick<br />@bsiscovick<br />ben@iaventures.com<br />Brad Gillespie<br />@bradgillespie<br />brad@iaventures.com<br />

×