{"id":3813,"date":"2013-07-10T07:00:40","date_gmt":"2013-07-10T15:00:40","guid":{"rendered":"http:\/\/www.formtek.com\/blog\/?p=3813"},"modified":"2013-07-10T07:00:40","modified_gmt":"2013-07-10T15:00:40","slug":"big-data-personalizing-the-user-experience-with-anticipatory-systems","status":"publish","type":"post","link":"https:\/\/formtek.com\/blog\/big-data-personalizing-the-user-experience-with-anticipatory-systems\/","title":{"rendered":"Big Data: Personalizing the User Experience with Anticipatory Systems"},"content":{"rendered":"<p>Increasingly companies are creating Big Data sets to analyze and scan for insights. \u00a0But while most companies are collecting a lot more data than they previously were capable, there are a few companies, like internet giants Facebook and Google, which are dwarfing all other companies in the sheer volume of information that they&#8217;re able to collect.<\/p>\n<p>Google, for example, responds to billions of search queries every day. \u00a0In 2009 Google demonstrated that they were able to &#8216;predict&#8217; trends based on the frequency and nature of search term criteria. \u00a0For example, they found that by looking at what and how people search for information on a specific topic, like influenza, they are often able to accurately make predictions. \u00a0\u00a0<a title=\"Google flue trends\" href=\"http:\/\/www.google.org\/flutrends\/us\/#US\" target=\"_blank\">In the case of influenza<\/a>, Google is able to more accurately identify in real time the spread of the disease compared to the method used by the CDC for collecting data from hospitals which often takes a week or two to aggregate.<\/p>\n<p><a title=\"Jonathan Yates of Motley Fool\" href=\"http:\/\/beta.fool.com\/jonathanyates13\/2013\/02\/19\/will-facebook-become-amazon-big-data\/24260\/\">Jonathan Yates<\/a> of the Motley Fool wrote that &#8220;Having over one billion users that account for one-fifth of the daily page views on the Internet, the amount of data that Facebook encounters in a continuim renders to it a tremendous competitive advantage for exploiting Big Data opportunities. \u00a0Google and Microsoft are also similarly situated due to the dominance of the Web browser and search engine for each.&#8221;<\/p>\n<p>Companies like Google and Facebook are at a competitive advantage with the information that they&#8217;ve assembled. \u00a0That puts them also in a position to create products and new services that no other companies can possibly attempt. \u00a0With trives of information about both you and everything in your world, these companies are beginning to build a type of software called &#8216;<em>anticipatory systems<\/em>.&#8217;<\/p>\n<p><a title=\"Owne Thomas bio\" href=\"www.linkedin.com\/in\/owenmthomas\/\" target=\"_blank\">Owen Thomas<\/a> <a title=\"Owen Thomas on Anticipatory Systems\" href=\"Own Thomas\" target=\"_blank\">writes that<\/a> &#8220;the true challenge for Apple, Google and Facebook is how to design a great anticipatory service around a specific need \u0097 without feeling creepy or, worse, clumsy. So much of what makes an anticipatory system great lies in the nuances of the service. Written prompts and design cues will play a huge role in getting people comfortable with computers that know a lot about us and make eerily accurate guesses.&#8221;<\/p>\n<p><a title=\"Antonio Regalado bio\" href=\"http:\/\/www.linkedin.com\/pub\/antonio-regalado\/0\/241\/900\" target=\"_blank\">Antonio Regalado<\/a> writes for ReadWrite that the\u00a0<a title=\"MIT Technology Review\" href=\"http:\/\/www.technologyreview.com\/news\/514346\/the-data-made-me-do-it\/\" target=\"_blank\">MIT Technology Review <\/a>that &#8220;For the data refineries of Silicon Valley, like Google, Facebook, and LinkedIn, the merger of big data and personal data has been a goal for some time. 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