Enterprise Social Graphing (SPS Redmond, September 2013)


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Presented at SPS Redmond, the opportunity to take the Open Graph concept and extend it to the Enterprise. Social Graphing is more than the relationships between employees, customers, partners and vendors, it's also about all the data that is created as a part of those relationships, both by people and their devices/sensors. Exploring this big data opportunity requires machine learning to help comprehend the innovations that can become new sources of products/services for enterprises.

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  • We’re in the midst of the biggest communication revolution of our time.Almost 1B users in Facebook, 1B tweets every 4 daysFor the first time ever, Social Networking is now more widely used than email or portals.Social Networking – bigger than email and portalsFueled by mobileIts here in the enterprise.1 users, 1billion users, more workforce, ipad sales> pc----Some more stats:LinkedIn: 131M members, 2+ billion searches per year (comScore)According to Forrester, 41% of workforce is mobileAccording to Forrester, 60M tablets and 175M smartphones expected in the workplace
  • Didn’t design companies to changeEfficient as possibleBuild products & services at massive scaleStructure & ProcessNarrowly defined roles for employeesGain as much efficiency as possible, squeezeExpense of adaptibility/innovation and motivation of employeesRIP Tower Records 1960-2006Blockbuster, Barnes & NobleIt is generally regarded as the first affordable automobile, the car that opened travel to the common middle-classAmerican; some of this was because of Ford's innovations, including assembly line production instead of individual hand crafting.[The standard 4-seat open tourer of 1909 cost $850;[32] in 1913, the price dropped to $550 and $440 in 1915. Sales were 69,762 in 1911; 170,211 in 1912; 202,667 in 1913; 308,162 in 1914; and 501,462 in 1915.[27] In 1914, an assembly line worker could buy a Model T with four months' pay.[27]By the 1920s, the price had fallen to $260[13] because of increasing efficiencies of assembly line technique and volume.By 1900 the United States was producing about 4,000 automobiles a year, and the companies producing them multiplied in a classic economic Darwinian competition. In 1903 alone no fewer than 57 car makers opened for business, and 27 went bankrupt. One of the automobile manufacturers that opened that year was the Ford Motor Company, whose principal owner (sole owner after 1915) was Henry Ford.Ford’s father was a farmer near Dearborn, Michigan, and Henry received only a modest rural education. Ford hated farming, but he proved a born mechanic. In 1896 he built his first automobile in the carriage house behind his house, and in the next few years he built racecars that broke speed records. But Ford wasn’t really interested in racing or crafting cars for the wealthy. He wanted to produce cars for the average man.It was a revolutionary concept that would have consequences Henry Ford never imagined and made him one of the most famous people in the world. In 1932 Aldous Huxley published his classic novel of the future, Brave New World , in which the people of that world reckon time not from the birth of Christ but from the birth of Henry Ford.In 1908 Ford introduced the Model T. It was designed to be both rugged—to handle the usually awful roads of that time—and cheap to manufacture. At $850 not only was it much less expensive than the average automobile, it also cost only about a penny a mile to run. It was an instant success: 10,607 Model T’s sold that year, more than two and a half times as many cars as had been sold in America just eight years earlier.Ford, having designed what he regarded as the perfect vehicle (and for its time it was), bent all the company’s efforts to reducing manufacturing costs to make the Model T accessible to an ever-larger segment of the population. In 1913 he introduced the assembly line, a fundamental concept in manufacturing ever since.By 1916 the price of a Model T had dropped to $360, and Ford sold 730,041 of them that year. By 1920 Ford was building half the cars in the world, and the 5,000-year reign of the horse as the prime local mover of humans and freight had come to an end.The cheap car remade the American economy. By the 1920s automobile manufacture was consuming 20 percent of the nation’s steel production, 80 percent of its rubber, and 75 percent of its plate glass. The need for roads gave an enormous boost to the construction industry and stimulated quarrying and cement manufacture. By the 1920s automaking had become the country’s largest manufacturing industry. It still is.
  • Topple Rate Between 1965 and 2010, the topple rate for all companies in the economy with more than $100M in net sales increased almost 40%, as competition exposed low performers and ate away at their returns.The return on assets (ROA) for U.S. firms today has fallen to less than one third of 1965 levels while improvements in labor productivity had modestly improved over the same period. While there has been a modest improvement in ROA over the past couple of years as the downturn eases up, we believe that this is simply a short-term adjustment similar to the improvements in ROA seen in previous economic cycles.Additional findings of our Shift Index include:The ROA performance gap between winners and losers has increased over time.The “topple rate,” the rate at which big companies lose their leadership positions, has more than doubled.Competitive intensity in the U.S. has more than doubled during the last 40 years.Creative talent is experiencing greater growth in total compensation.Customers also appear to be gaining and using their market power.A few of the key themes that we discuss this year are:ROA performance continues its long-term decline due to deteriorating firm performance.Layoffs and other short-term measures taken by firms are largely the cause of the recent uptick in ROA.Connected individuals, not companies, are the ones harnessing flows and have more power because of it.
  • The Open Graph protocol enables any web page to become a rich object in a social graph. For instance, this is used on Facebook to allow any web page to have the same functionality as any other object on Facebook.While many different technologies and schemas exist and could be combined together, there isn't a single technology which provides enough information to richly represent any web page within the social graph.
  • The Open Graph protocol enables any web page to become a rich object in a social graph. For instance, this is used on Facebook to allow any web page to have the same functionality as any other object on Facebook.While many different technologies and schemas exist and could be combined together, there isn't a single technology which provides enough information to richly represent any web page within the social graph. Zuckerberg and Taylor described a concept called "Open Graph" that will be useful to businesses and services. On Facebook, users are connected to people they know, as well as public figures, services and products they like; Facebook’s new platform will allow websites and apps to share this information with each other.When you connect to sites like Yelp via your Facebook profile, Yelp will have access to any information you've made publicly available about your favorite foods or favorite bands, and will be able to take that into account when giving you information about restaurants or music venues. For example, Yelp could pull information about your favorite music from data that Pandora added to the graph when you favorited a song on its site.
  • One of the most well-known Hadoop users is Facebook, whose model follows this pattern. A MySQL database stores the core data. This is then reflected into Hadoop, where computations occur, such as creating recommendations for you based on your friends’ interests. Facebook then transfers the results back into MySQL, for use in pages served to users.
  • Not just the social connections, it’s all the content that we and our devices generate that go with the conversation.
  • From TechEdpresentation
  • VolumeThe benefit gained from the ability to process large amounts of information is the main attraction of big data analytics. Having more data beats out having better models: simple bits of math can be unreasonably effective given large amounts of data. If you could run that forecast taking into account 300 factors rather than 6, could you predict demand better? VelocityThe importance of data’s velocity — the increasing rate at which data flows into an organization — has followed a similar pattern to that of volume. Problems previously restricted to segments of industry are now presenting themselves in a much broader setting. Specialized companies such as financial traders have long turned systems that cope with fast moving data to their advantageVarietyRarely does data present itself in a form perfectly ordered and ready for processing. A common theme in big data systems is that the source data is diverse, and doesn’t fall into neat relational structures. It could be text from social networks, image data, a raw feed directly from a sensor source
  • According to research by McKinsey & Company, Big Data creates value in the enterprise by:Making information transparent and usable at higher frequency; Allowing more accurate and detailed performance information on everything from product inventories to sick days, exposing variability and boosting performance; Enabling segmentation of customers to more precisely tailored products or services; Improving decision-making through more sophisticated analytics; and Optimizing products and services. For example, sensors embedded in products can create innovative after-sales service offerings, such as proactive maintenance (preventive measures that take place before a failure occurs or is even noticed).
  • Now move to use cases
  • April 6, 2011 — Microsoft Corp. and Toyota Motor Corp. (TMC) today announced they have forged a strategic partnership and plan to build a global platform for TMC’s next-generation telematics services using the Windows Azure platform. Telematics is the fusing of telecommunications and information technologies in vehicles; it can encompass GPS systems, energy management and other multimedia technologies. As part of the partnership, the two companies plan to participate in a 1 billion yen (approximately $12 million) investment in Toyota Media Service Co., a TMC subsidiary that offers digital information services to Toyota automotive customers. The two companies aim to help develop and deploy telematics applications on the Windows Azure platform, which includes Windows Azure and Microsoft SQL Azure, starting with TMC’s electric and plug-in hybrid vehicles in 2012. TMC’s goal is to establish a complete global cloud platform by 2015 that will provide affordable and advanced telematics services to Toyota automotive customers around the world
  • But all of these big data applications need to be supported by human understanding of the data. For this, we need Machine Learning.
  • www.Synxi.com for more information on personalized knowledge & expertise discovery for SharePoint & Yammer
  • Enterprise Social Graphing (SPS Redmond, September 2013)

    1. 1. #SPSRED @nmoneypenny Enterprise Social Graphing: The Art of the Possible
    2. 2. #SPSRED @nmoneypenny#SPSRED @nmoneypenny Passionate about user adoption and enterprise collaboration & innovation geek Technology forecasting and strategy manager at Shell, consulted at many Fortune 100 companies since 20 patents in adaptive systems Naomi Moneypenny n.moneypenny@manyworlds.com 2700+ followers on Twitter 3+3 dogs Astrophysicist
    3. 3. #SPSRED @nmoneypenny#SPSRED @nmoneypenny • What Is Social Graphing? • Why Is Social Graphing Relevant to the Enterprise? • Apps Overview • Use Cases • The Future
    4. 4. @nmoneypenny wwww.Synxi.com Line chart showing Social > Email SOCIAL NETWORKING EMAIL #users 2009 Sources: Comscore, Forrester Research Line chart showing Social > Email time Timespent online PORTALS SOCIAL NETWORKING 2011 • Fueled by mobile technology, more people are now using social networking websites than email or web portals. time › 800 million Facebook users with over 100 billion connections › 300 million Twitter users with 1 billion tweets every 4 days › 488 million mobile devices v 417 million PCs shipped in 2011
    5. 5. #SPSRED @nmoneypenny#SPSRED @nmoneypenny Source: McKinsey
    6. 6. #SPSRED @nmoneypenny#SPSRED @nmoneypenny Source: Deloitte “The ability to learn faster than your competitors may be the only sustainable competitive advantage.” - Arie de Geus, The Living Company
    7. 7. #SPSRED @nmoneypenny#SPSRED @nmoneypenny
    8. 8. #SPSRED @nmoneypenny#SPSRED @nmoneypenny
    9. 9. #SPSRED @nmoneypenny#SPSRED @nmoneypenny
    10. 10. #SPSRED @nmoneypenny#SPSRED @nmoneypenny
    11. 11. #SPSRED @nmoneypenny#SPSRED @nmoneypenny User Documents Colleagues Customers & Partners Org Structure Apps Location
    12. 12. #SPSRED @nmoneypenny#SPSRED @nmoneypenny Only two industries call customers ‘users’… - drug dealers and IT Eugene Lee @nmoneypenny #SPSRIC n.moneypenny@manyworlds.com
    13. 13. #SPSRED @nmoneypenny#SPSRED @nmoneypenny
    14. 14. #SPSRED @nmoneypenny#SPSRED @nmoneypenny 20,000 new users a day $2bn Revenue for 2012 130 Million Users Worldwide Fastest Growing Product in Microsoft History
    15. 15. #SPSRED @nmoneypenny#SPSRED @nmoneypenny
    16. 16. #SPSRED @nmoneypenny#SPSRED @nmoneypenny © ManyWorlds, Inc 85% Fortune 500 8 Million Users $1.2bn Pubic API Feeds
    17. 17. #SPSRED @nmoneypenny#SPSRED @nmoneypenny Structured & Semi- structured Data Social Engagement & Collaboration Information Evolution & Storage Informal Rules Enterprise Search Across Teams & Domains Structured Relational Data Interactions, A ctivities & Tasks Information Generation & Analytics Formalized Processes Data Query & Filter Within Teams & Domains SharePoint CRM
    18. 18. #SPSRED @nmoneypenny#SPSRED @nmoneypenny Volume Variety Velocity Relational Data Big Data
    19. 19. #SPSRED @nmoneypenny#SPSRED @nmoneypenny Making information transparent and usable at hight frequency Allow more accurate & detailed performance info Enabling segmentation of customers Optimize products and services
    20. 20. #SPSRED @nmoneypenny#SPSRED @nmoneypenny
    21. 21. #SPSRED @nmoneypenny#SPSCBUS @nmoneypenny
    22. 22. #SPSRED @nmoneypenny#SPSRED @nmoneypenny
    23. 23. #SPSRED @nmoneypenny#SPSRED @nmoneypenny
    24. 24. #SPSRED @nmoneypenny#SPSRED @nmoneypenny Machine learning is the most significant technology trend. Computers have to get smarter and anticipate. Kevin Turner, Microsoft COO, July 2012
    25. 25. #SPSRED @nmoneypenny#SPSRED @nmoneypenny
    26. 26. #SPSRED @nmoneypenny#SPSRED @nmoneypenny
    27. 27. #SPSRED @nmoneypenny#SPSRED @nmoneypenny • • • •
    28. 28. #SPSRED @nmoneypenny#SPSRED @nmoneypenny • Naomi Moneypenny • Please email me to get copy of slides with notes: n.moneypenny@manyworlds.com • Other presentations available on Yammer Overview, Yammer+SharePoint, Machine Learning & SharePoint, Communicating Value of SharePoint as a Platform • www.Synxi.com • @nmoneypenny (I will follow you back on Twitter)