{"id":43008,"date":"2013-10-13T21:04:43","date_gmt":"2013-10-14T01:04:43","guid":{"rendered":"http:\/\/countingpips.com\/forex-news\/?p=43008"},"modified":"2013-10-13T21:04:43","modified_gmt":"2013-10-14T01:04:43","slug":"twitter-ipo-hits-pay-dirt-from-data-mining","status":"publish","type":"post","link":"https:\/\/www.investmacro.com\/forex-news\/2013\/10\/13\/twitter-ipo-hits-pay-dirt-from-data-mining\/","title":{"rendered":"Twitter IPO Hits Pay Dirt From Data Mining"},"content":{"rendered":"<p>By <a href=\"http:\/\/www.MoneyMorning.com.au\" target=\"_blank\"><u>MoneyMorning.com.au<\/u><\/a> <\/p>\n<p>Facebook  (FB)&#8230;Groupon (GRPN)&#8230;Zynga (ZNGA)&#8230;Angie&#8217;s List (ANGI).<\/p>\n<p>When we saw  a rash of social media companies like these go public, I was sceptical.<\/p>\n<p>To me, while  their services were popular, their business models &#8211; their actual way of  monetising that popularity &#8211; didn&#8217;t seem very secure, never mind lucrative.<\/p>\n<p>I mean, who  wants to own Angie&#8217;s List anyway? Great website&#8230;weird stock.<\/p>\n<p>The main  problem? While the lion&#8217;s share of these web companies&#8217; revenue comes from  advertising, as mobile <a href=\"http:\/\/www.moneymorning.com.au\/category\/technology-and-innovation\" title=\"more on technology \">technology<\/a> advances, they&#8217;re struggling to keep pace.<\/p>\n<p>For example,  when Facebook launched last year, CEO Mark Zuckerberg and his band of  overzealous investors faced one glaring issue: no mobile ad revenue&#8230;at all. And  the stock tanked.<\/p>\n<p>Oddly  enough, <strong>Twitter <\/strong>faces the same issue. I say &#8216;oddly enough&#8217; because Twitter  isn&#8217;t supposed to have a mobile problem.<\/p>\n<p>Its  &#8216;microblogging&#8217; concept is designed specifically for tablets and smartphones,  so users can give immediate commentary anywhere&#8230;anytime.<\/p>\n<p>But like  everyone else in the social media industry, when people use Twitter&#8217;s mobile  app, the company makes far less money from advertising.<\/p>\n<p>However,  unlike everyone else, Twitter has a lesser-known side business that&#8217;s proving  very lucrative&#8230;<\/p>\n<p>And when the  company filed its S-1 last week, everyone focused on ad revenue and ignored  this&#8230;<\/p>\n<p>Almost a  year ago, Tech &amp; Innovation Daily noted that Big Data is one of today&#8217;s  seven most investable technology trends.<\/p>\n<p>Research  firm IDC agrees. It says the Big Data market is growing seven times faster than  the entire information technology sector and is on pace to be worth $16.9  billion in two years.<\/p>\n<p>And Twitter  proves why&#8230;<\/p>\n<p>The company  is selling its data.<\/p>\n<p>You see,  thanks to its public, real-time data, nothing compares to Twitter. Its endless  stream of news, events, trends, opinions and experiences provides a wealth of  insights and opportunities.<\/p>\n<p>In fact,  it&#8217;s spawned a vast commercial ecosystem called &#8216;Social Listening&#8217;.<\/p>\n<p>Emerging  from the innovation pipeline are social data firms &#8211; companies that essentially  collect, dissect and analyse information. And they&#8217;re buying <strong>Twitter&#8217;s data<\/strong> to  help their clients get a leg up on the competition.<\/p>\n<h2>Here&#8217;s How&#8230;<\/h2>\n<\/p>\n<p>Ever wonder  how Google (GOOG) ranks search queries?<\/p>\n<p>Or how supercomputers  crunch numbers light-years faster than humans?<\/p>\n<p>In a  word&#8230;algorithms.<\/p>\n<p>When it  comes to processing and analysing data and calculations, computer algorithms  have become critical. Especially given today&#8217;s immense (and increasing) amount  of data.<\/p>\n<p>Just ask the  clients of <strong>social data-mining<\/strong> firms.<\/p>\n<p>Companies  like DirecTV (DTV).<\/p>\n<p>Let&#8217;s say  there&#8217;s a service outage in a certain area. Rather than wait for an onslaught  of calls and complaints, DTV can use Twitter&#8217;s social data analysis to stay  ahead of the problem.<\/p>\n<p>It&#8217;s  certainly not the only one&#8230;<\/p>\n<ul type=\"disc\">\n<li>The United Nations uses       Twitter algorithms to identify civil disorder hotspots.<\/li>\n<\/ul>\n<ul type=\"disc\">\n<li>Five Guys worked with       Washington, D.C. social data firm New Brand Analytics to analyse how its       hamburgers measured up against the competition.<\/li>\n<\/ul>\n<ul type=\"disc\">\n<li>Human resource departments use       Twitter data to evaluate potential recruits.<br \/>\n  Even  the Library of Congress is cataloguing tweets.<\/li>\n<\/ul>\n<ul type=\"disc\">\n<li>And Wall Street is using       Twitter&#8217;s algorithms to get an edge on the market.<\/li>\n<\/ul>\n<p>Take  Dataminr, for example&#8230;<\/p>\n<p>Dataminr  serves active traders &#8211; something it did very well last week.<\/p>\n<p>Five minutes  before news broke about the shooting on Capitol Hill, Dataminr issued a sell  alert to its subscribers. Its algorithm had picked up on tweets from  eyewitnesses about the shooting.<\/p>\n<p>The  algorithm analysed the timing and location and determined that an urgent  situation was developing. One with a high chance of a negative market response.<\/p>\n<p>The program  warned Dataminr&#8230;Dataminr warned its subscribers&#8230;and moments later, the S&amp;P  dropped by 20 points.<\/p>\n<p>Fund  managers also use algorithms to assess &#8216;sentiment scores&#8217;.<\/p>\n<p>In other  words, they trace investors&#8217; mood on stocks &#8211; the forces that can push stocks  higher or lower.<\/p>\n<p>Very  powerful, profitable information.<\/p>\n<p>The question  is: If knowledge is power, what&#8217;s the price for it?<\/p>\n<p>Well,  Japanese company NTT Data (Tokyo: 9613) paid Twitter $35.6 million per month  last year for data.<\/p>\n<p>Along with  Gnip, Data Sift and Topsy, these four companies account for the bulk of <strong> Twitter&#8217;s data revenue<\/strong>.<\/p>\n<p>They&#8217;re  essentially data brokers. Or what Twitter calls &#8216;certified data resellers&#8217;.<\/p>\n<p>Twitter  sells its data to these firms &#8211; who, in turn, sell to companies looking for  niche information.<\/p>\n<h2>So How is Twitter&#8217;s  Competition Responding?<\/h2>\n<\/p>\n<p>Well,  Facebook has largely avoided the data-mining business, as it isn&#8217;t set up for  conversations and real-time events like Twitter is. Rather, it&#8217;s geared towards  sharing<br \/>\n  among  friends.<\/p>\n<p>But with an  eye towards Twitter&#8217;s additional data revenue, Facebook has recently partnered  with companies to provide information about certain topics.<\/p>\n<p>Like  Twitter&#8217;s &#8216;trending&#8217; application, tools can focus on people in certain areas  and monitor emotive phrases. They can then create a heat map or sentiment  score.<\/p>\n<p>For decades,  businesses have spent countless hours and millions of dollars trying to  understand the past. But the innovative minds at Twitter are measuring the  present.<\/p>\n<p>They know  that whenever we use social media, we provide vital, actionable information for  companies to use in the here and now. And the company is finding ways to  monetise that information.<\/p>\n<p><strong>Martin Biancuzzo<\/strong><br \/>\n    <strong>Contributing Editor, <em>Money Morning<\/em> <\/strong><\/p>\n<p><em>Publisher&#8217;s Note: <\/em><a rel=\"nofollow\" href=\"http:\/\/dailyreckoning.com\/twitter-ipo-hits-pay-dirt-from-data-mining\/\">Twitter  IPO Hits Pay Dirt From Data Mining<\/a> article originally appeared in <em>The Daily Reckoning USA<\/em><\/p>\n<div class=\"feedflare\">\n<a href=\"http:\/\/feeds.feedburner.com\/~ff\/MoneyMorningAustralia?a=QE9hsZfoJ6M:PqLd6rCde6Y:yIl2AUoC8zA\"><img decoding=\"async\" src=\"http:\/\/feeds.feedburner.com\/~ff\/MoneyMorningAustralia?d=yIl2AUoC8zA\" border=\"0\"><\/img><\/a> <a href=\"http:\/\/feeds.feedburner.com\/~ff\/MoneyMorningAustralia?a=QE9hsZfoJ6M:PqLd6rCde6Y:V_sGLiPBpWU\"><img decoding=\"async\" src=\"http:\/\/feeds.feedburner.com\/~ff\/MoneyMorningAustralia?i=QE9hsZfoJ6M:PqLd6rCde6Y:V_sGLiPBpWU\" border=\"0\"><\/img><\/a> <a href=\"http:\/\/feeds.feedburner.com\/~ff\/MoneyMorningAustralia?a=QE9hsZfoJ6M:PqLd6rCde6Y:gIN9vFwOqvQ\"><img decoding=\"async\" src=\"http:\/\/feeds.feedburner.com\/~ff\/MoneyMorningAustralia?i=QE9hsZfoJ6M:PqLd6rCde6Y:gIN9vFwOqvQ\" border=\"0\"><\/img><\/a>\n<\/div>\n<p><img loading=\"lazy\" decoding=\"async\" src=\"http:\/\/feeds.feedburner.com\/~r\/MoneyMorningAustralia\/~4\/QE9hsZfoJ6M\" height=\"1\" width=\"1\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>By MoneyMorning.com.au Facebook (FB)&#8230;Groupon (GRPN)&#8230;Zynga (ZNGA)&#8230;Angie&#8217;s List (ANGI). When we saw a rash of social media companies like these go public, I was sceptical. To me, while their services were popular, their business models &#8211; their actual way of monetising that popularity &#8211; didn&#8217;t seem very secure, never mind lucrative. I mean, who wants to &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.investmacro.com\/forex-news\/2013\/10\/13\/twitter-ipo-hits-pay-dirt-from-data-mining\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Twitter IPO Hits Pay Dirt From Data Mining&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-43008","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/www.investmacro.com\/forex-news\/wp-json\/wp\/v2\/posts\/43008","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.investmacro.com\/forex-news\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.investmacro.com\/forex-news\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.investmacro.com\/forex-news\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.investmacro.com\/forex-news\/wp-json\/wp\/v2\/comments?post=43008"}],"version-history":[{"count":0,"href":"https:\/\/www.investmacro.com\/forex-news\/wp-json\/wp\/v2\/posts\/43008\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.investmacro.com\/forex-news\/wp-json\/wp\/v2\/media?parent=43008"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.investmacro.com\/forex-news\/wp-json\/wp\/v2\/categories?post=43008"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.investmacro.com\/forex-news\/wp-json\/wp\/v2\/tags?post=43008"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}