digital london digital breadcrumbs presentation

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10.20.2005 Digital Paths and Digital Breadcrumbs: Social, Data Science and New Business Models Digital London March 2012

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my deck for Digital London. Not sure I nailed the data science angle, but i got good feedback. i look at the economics of valuation based on data, for example.

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10.20.2005

Digital Paths and Digital Breadcrumbs:

Social, Data Science and New Business Models

Digital London March 2012

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Cloud is eating the World

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Source: John C. McCallum

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Relentless

"@stoweboyd: Today’s basic Kindle costs 80% less, weighs 40% less, 2/3 less space and holds 7x as many books as the original"

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What do these companies have in common?

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They make up PwC's Global Software Top 20

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Source: PwC

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What else do they have in common?

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All were founded before 1989

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1989 was 22 years ago

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Things that happened in 1989 The Soviet Union left Afghanistan Time and Warner Merge The Exxon Valdez oil spill Tiananmen Square Rain Man won best picture

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The average age of the Top 20 Software Companies is

47 years

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That's partially skewed by the likes of IBM (1911) NEC (1899!)

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Fewer outliers? 31 years

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Growth through software salesis slowing

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Growth through data is not

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The Four Stages of Software Production

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STAGE 1

“The money is in the hardware,not the software”

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STAGE 2

“Actually, the money is in the software”

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STAGE 3

“The money is not in the software, but it is differentiating”

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STAGE 4

“Software is not even differentiating, the value is the data”

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Microsoft's Share Price

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The Age of Software The Age of Data

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Software is a means

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Engagement with customers, partners, employees, and other stakeholders

generates data

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Systems of Record toSystems of Engagement

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“The lumber industry sells what used to be waste — sawdust, chips, and shredded wood — for a pretty profit. Today you’ll find these by-products in synthetic fireplace logs, concrete, mulch, particle board, fuel, livestock and pet bedding, winter road traction, weed killing and more.”

Jason Fried, 37signals

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• Location, location, location• Influence patterns• Customer service feedback• Sentiment• Geographical trends.• Search Findings• Predicting retail and property sales

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Right now, if you think of the data at all, you probably consider it a by-

product

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“In contrast to most traditional survey methods, they [search data] are collected as a by-product of normal activity”

- the Bank of England

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Why not use it?

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Who’s already doing this?

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What you Share Changes What You Drink

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RedMonk’s Developer Intelligence portal

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A New Kind of Data “Store”

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Hadoop at Facebookhttp://hadoopblog.blogspot.com/2010/05/facebook-has-worlds-largest-hadoop.html

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So if you're in businessand you're ignoring

Implicit and social data

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You're doing it wrong

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QUESTIONS

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LinkedIn Members

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GitHub Rankings

1. Java (5)2. Scala (18)3. Clojure (22)4. Groovy (23)

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GitHub Change

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Ohloh Monthly Contributors

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Language Tiers

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For Example

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Photo credits

Breadcrumb – diongillard on FlickrPathway by ^riza^ on FlickrSF in Cloud – SF Chronicle