{"id":5582,"date":"2016-02-07T18:49:49","date_gmt":"2016-02-07T18:49:49","guid":{"rendered":"http:\/\/www.iic.uam.es\/en\/?page_id=5582"},"modified":"2016-02-19T12:46:46","modified_gmt":"2016-02-19T12:46:46","slug":"predictive-analytics","status":"publish","type":"page","link":"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/","title":{"rendered":"Predictive Analytics"},"content":{"rendered":"[vc_row type=&#8221;full_width_section&#8221; top_padding=&#8221;-10&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text]\n<div id=\"rev_slider_117_1_wrapper\" class=\"rev_slider_wrapper fullwidthbanner-container\" style=\"margin:0px auto;background-color:transparent;padding:0px;margin-top:0px;margin-bottom:0px;\">\n<!-- START REVOLUTION SLIDER 5.0.9 fullwidth mode -->\n\t<div id=\"rev_slider_117_1\" class=\"rev_slider fullwidthabanner\" style=\"display:none;\" data-version=\"5.0.9\">\n<ul>\t<!-- SLIDE  -->\n\t<li data-index=\"rs-158\" data-transition=\"fade\" data-slotamount=\"default\"  data-easein=\"default\" data-easeout=\"default\" data-masterspeed=\"default\"  data-rotate=\"0\"  data-saveperformance=\"off\"  data-title=\"Slide\" data-description=\"\">\n\t\t<!-- MAIN IMAGE -->\n\t\t<img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.iic.uam.es\/wp-content\/uploads\/2016\/01\/Cabecera_Prediccitiva.jpg\"  alt=\"\"  width=\"1903\" height=\"300\" data-bgposition=\"center center\" data-bgfit=\"cover\" data-bgrepeat=\"no-repeat\" class=\"rev-slidebg\" data-no-retina>\n\t\t<!-- LAYERS -->\n\n\t\t<!-- LAYER NR. 1 -->\n\t\t<div class=\"tp-caption Fashion-BigDisplay   tp-resizeme\" \n\t\t\t id=\"slide-158-layer-1\" \n\t\t\t data-x=\"['center','center','center','center']\" data-hoffset=\"['-1','-1','-1','-1']\" \n\t\t\t data-y=\"['middle','middle','middle','middle']\" data-voffset=\"['-54','-54','-54','-54']\" \n\t\t\t\t\t\tdata-width=\"880\"\n\t\t\tdata-height=\"70\"\n\t\t\tdata-whitespace=\"nowrap\"\n\t\t\tdata-transform_idle=\"o:1;\"\n \n\t\t\t data-transform_in=\"opacity:0;s:300;e:Power2.easeInOut;\" \n\t\t\t data-transform_out=\"opacity:0;s:300;s:300;\" \n\t\t\tdata-start=\"500\" \n\t\t\tdata-splitin=\"none\" \n\t\t\tdata-splitout=\"none\" \n\t\t\tdata-responsive_offset=\"on\" \n\n\t\t\t\n\t\t\tstyle=\"z-index: 5; min-width: 880px; max-width: 880px; max-width: 70px; max-width: 70px; white-space: nowrap; font-size: 22px; line-height: 20px; font-weight: 700; color: rgba(255, 255, 255, 1.00);font-family:OPEN SANS;text-align:center;\">PREDICTIVE ANALYTICS \n\t\t<\/div>\n\n\t\t<!-- LAYER NR. 2 -->\n\t\t<div class=\"tp-caption Fashion-BigDisplay   tp-resizeme\" \n\t\t\t id=\"slide-158-layer-2\" \n\t\t\t data-x=\"['center','center','center','center']\" data-hoffset=\"['-4','-4','-4','-4']\" \n\t\t\t data-y=\"['middle','middle','middle','middle']\" data-voffset=\"['30','30','30','30']\" \n\t\t\t\t\t\tdata-width=\"1200\"\n\t\t\tdata-height=\"140\"\n\t\t\tdata-whitespace=\"normal\"\n\t\t\tdata-transform_idle=\"o:1;\"\n \n\t\t\t data-transform_in=\"opacity:0;s:300;e:Power2.easeInOut;\" \n\t\t\t data-transform_out=\"opacity:0;s:300;s:300;\" \n\t\t\tdata-start=\"500\" \n\t\t\tdata-splitin=\"none\" \n\t\t\tdata-splitout=\"none\" \n\t\t\tdata-responsive_offset=\"on\" \n\n\t\t\t\n\t\t\tstyle=\"z-index: 6; min-width: 1200px; max-width: 1200px; max-width: 140px; max-width: 140px; white-space: normal; font-size: 22px; line-height: 30px; font-weight: 100; color: rgba(255, 255, 255, 1.00);font-family:OPEN SANS;text-align:center;\">Data predictions generated by Predictive Analytics support business decisions. \n\t\t<\/div>\n\t<\/li>\n<\/ul>\n<div class=\"tp-bannertimer tp-bottom\" style=\"visibility: hidden !important;\"><\/div>\t<\/div>\n<script>var htmlDiv = document.getElementById(\"rs-plugin-settings-inline-css\"); var htmlDivCss=\".tp-caption.Fashion-BigDisplay,.Fashion-BigDisplay{color:rgba(0,0,0,1.00);font-size:60px;line-height:60px;font-weight:900;font-style:normal;font-family:Raleway;padding:0px 0px 0px 0px;text-decoration:none;background-color:transparent;border-color:transparent;border-style:none;border-width:0px;border-radius:0px 0px 0px 0px;letter-spacing:2px}\";\r\n\t\t\t\tif(htmlDiv) {\r\n\t\t\t\t\thtmlDiv.innerHTML = htmlDiv.innerHTML + htmlDivCss;\r\n\t\t\t\t}\r\n\t\t\t\telse{\r\n\t\t\t\t\tvar htmlDiv = document.createElement(\"div\");\r\n\t\t\t\t\thtmlDiv.innerHTML = \"<style>\" + htmlDivCss + \"<\/style>\";\r\n\t\t\t\t\tdocument.getElementsByTagName(\"head\")[0].appendChild(htmlDiv.childNodes[0]);\r\n\t\t\t\t}\r\n\t\t\t<\/script>\n\t\t<script type=\"text\/javascript\">\r\n\t\t\t\t\t\t\/******************************************\r\n\t\t\t\t-\tPREPARE PLACEHOLDER FOR SLIDER\t-\r\n\t\t\t******************************************\/\r\n\r\n\t\t\tvar setREVStartSize=function(){\r\n\t\t\t\ttry{var e=new Object,i=jQuery(window).width(),t=9999,r=0,n=0,l=0,f=0,s=0,h=0;\r\n\t\t\t\t\te.c = jQuery('#rev_slider_117_1');\r\n\t\t\t\t\te.responsiveLevels = [1240,1240,1240,480];\r\n\t\t\t\t\te.gridwidth = [1240,1024,778,480];\r\n\t\t\t\t\te.gridheight = [300,300,300,300];\r\n\t\t\t\t\t\t\t\r\n\t\t\t\t\te.sliderLayout = \"fullwidth\";\r\n\t\t\t\t\tif(e.responsiveLevels&&(jQuery.each(e.responsiveLevels,function(e,f){f>i&&(t=r=f,l=e),i>f&&f>r&&(r=f,n=e)}),t>r&&(l=n)),f=e.gridheight[l]||e.gridheight[0]||e.gridheight,s=e.gridwidth[l]||e.gridwidth[0]||e.gridwidth,h=i\/s,h=h>1?1:h,f=Math.round(h*f),\"fullscreen\"==e.sliderLayout){var u=(e.c.width(),jQuery(window).height());if(void 0!=e.fullScreenOffsetContainer){var c=e.fullScreenOffsetContainer.split(\",\");if (c) jQuery.each(c,function(e,i){u=jQuery(i).length>0?u-jQuery(i).outerHeight(!0):u}),e.fullScreenOffset.split(\"%\").length>1&&void 0!=e.fullScreenOffset&&e.fullScreenOffset.length>0?u-=jQuery(window).height()*parseInt(e.fullScreenOffset,0)\/100:void 0!=e.fullScreenOffset&&e.fullScreenOffset.length>0&&(u-=parseInt(e.fullScreenOffset,0))}f=u}else void 0!=e.minHeight&&f<e.minHeight&&(f=e.minHeight);e.c.closest(\".rev_slider_wrapper\").css({height:f})\r\n\t\t\t\t}catch(d){console.log(\"Failure at Presize of Slider:\"+d)}\r\n\t\t\t};\r\n\t\t\t\t\t\t\r\n\t\t\t\t\r\n\t\t\tsetREVStartSize();\r\n\t\t\tfunction revslider_showDoubleJqueryError(sliderID) {\r\n\t\t\t\t\tvar errorMessage = \"Revolution Slider Error: You have some jquery.js library include that comes after the revolution files js include.\";\r\n\t\t\t\t\terrorMessage += \"<br> This includes make eliminates the revolution slider libraries, and make it not work.\";\r\n\t\t\t\t\terrorMessage += \"<br><br> To fix it you can:<br>&nbsp;&nbsp;&nbsp; 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bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/3&#8243;]<div class=\"iconbox  wpb_content_element iconbox-style-5 icon-color-greyscale color-dark clearfix\"><div class=\"iconbox-icon\"><i class=\"fa fa-shopping-cart boxicon\" style=\"\"><\/i><\/div><div class=\"iconbox-content\"><h3>Anticipating the demand from customers<\/h3><p><strong>Anticipating the demand from customers <\/strong>at different sales points, considering factors under control such as the price for sale, and external factors, such as calendars or weather conditions.<\/p><\/div><\/div>[\/vc_column][vc_column width=&#8221;1\/3&#8243;]<div class=\"iconbox  wpb_content_element iconbox-style-5 icon-color-greyscale color-dark clearfix\"><div class=\"iconbox-icon\"><i class=\"fa fa-credit-card boxicon\" style=\"\"><\/i><\/div><div class=\"iconbox-content\"><h3>Determining fraud probability<\/h3><p><strong>Determining <\/strong>whether a banking transaction is likely to be part of a <strong>fraudulent practice.<\/strong><\/p><\/div><\/div>[\/vc_column][vc_column width=&#8221;1\/3&#8243;]<div class=\"iconbox  wpb_content_element iconbox-style-5 icon-color-greyscale color-dark clearfix\"><div class=\"iconbox-icon\"><i class=\"fa fa-group boxicon\" style=\"\"><\/i><\/div><div class=\"iconbox-content\"><h3>Finding related groups<\/h3><p><strong>Finding related groups <\/strong>among customers within a CRM who share demographic characteristics or preferences for certain services or products.<\/p><\/div><\/div>[\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/1&#8243;]<div class=\"divider divider1\" style='margin:0px !important;'><\/div>[\/vc_column][\/vc_row][vc_row bg_color=&#8221;#f1f1f1&#8243; text_align=&#8221;center&#8221; top_padding=&#8221;30&#8243; bottom_padding=&#8221;30&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text]\n<h3 style=\"text-align: center;\"><span style=\"color: #9f1700;\">How does it work?<\/span><\/h3>\n<p style=\"text-align: center; font-size: 20px;\"><span style=\"color: #333333;\">In order to estimate unknown information, Predictive Analytics uses a series of techniques, among which classification, prediction and segmentation are found:<\/span><\/p>\n[\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/3&#8243;]<div class=\"single_image wpb_content_element align-center \" data-animation=\"none\" data-delay=\"\"><a href=\"\/en\/big-data\/predictive-analytics\/classification\/\" ><img decoding=\"async\" src=\"https:\/\/www.iic.uam.es\/wp-content\/uploads\/2016\/01\/claficacion-1.png\" alt=\"Clasificaci\u00f3n\" \/><\/a><\/div>[vc_column_text]\n<h5 style=\"text-align: center;\"><span style=\"color: #878787;\">Automatic classification of information.<\/span><\/h5>\n[\/vc_column_text]<a href=\"\/en\/big-data\/predictive-analytics\/classification\/\" target=\"_self\" class=\"button custom medium button.color-3\" style=\"background-color: ; border-color: ;border-radius: 2px;\">CLASSIFICATION<\/a>[\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;]<div class=\"single_image wpb_content_element align-center \" data-animation=\"none\" data-delay=\"\"><a href=\"http:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/prediction\/\" ><img decoding=\"async\" src=\"https:\/\/www.iic.uam.es\/wp-content\/uploads\/2016\/01\/prediccion.png\" alt=\"\" \/><\/a><\/div>[vc_column_text]\n<h5 style=\"text-align: center;\"><span style=\"color: #878787;\">Prediction or regression of future values on the basis of historical ones.<\/span><\/h5>\n[\/vc_column_text]<a href=\"http:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/prediction\/\" target=\"_self\" class=\"button custom medium button.color-3\" style=\"background-color: ; border-color: ;border-radius: 2px;\">PREDICTION<\/a>[\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;]<div class=\"single_image wpb_content_element align-center \" data-animation=\"none\" data-delay=\"\"><a href=\"\/en\/big-data\/predictive-analytics\/segmentation\/\" ><img decoding=\"async\" src=\"https:\/\/www.iic.uam.es\/wp-content\/uploads\/2016\/01\/segmentacion.png\" alt=\"\" \/><\/a><\/div>[vc_column_text]\n<h5 style=\"text-align: center;\"><span style=\"color: #878787;\">Segmentation of data in order to discover hidden interest groups.<\/span><\/h5>\n[\/vc_column_text]<a href=\"\/en\/big-data\/predictive-analytics\/segmentation\/\" target=\"_self\" class=\"button custom medium button.color-3\" style=\"background-color: ; border-color: ;border-radius: 2px;\">SEGMENTATION<\/a>[\/vc_column_inner][\/vc_row_inner]<div class=\"spacer\" style=\"height: 40px;\"><\/div>[\/vc_column][\/vc_row][vc_row bg_color=&#8221;#2b99cc&#8221; text_color=&#8221;light&#8221; top_padding=&#8221;15&#8243; bottom_padding=&#8221;15&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_raw_html]JTNDcCUyMHN0eWxlJTNEJTIybGluZS1oZWlnaHQlM0ElMjAyOHB4JTNCJTIwZm9udC13ZWlnaHQlM0ElMjAxMDAlM0IlMjBmb250LWZhbWlseSUzQSUyME9wZW4lMjBTYW5zJTNCJTIwZm9udC1zaXplJTNBJTIwMjBweCUzQiUyMHRleHQtYWxpZ24lM0ElMjBjZW50ZXIlM0IlMjIlM0VQcmVkaWN0aXZlJTIwQW5hbHl0aWNzJTIwdXNlcyUyMGNsYXNzaWZpY2F0aW9uJTJDJTIwcHJlZGljdGlvbiUyMGFuZCUyMHNlZ21lbnRhdGlvbiUyMHRlY2huaXF1ZXMuJTNDJTJGcCUzRQ==[\/vc_raw_html][\/vc_column][\/vc_row]\n","protected":false},"excerpt":{"rendered":"<p>[vc_row type=&#8221;full_width_section&#8221; top_padding=&#8221;-10&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text][\/vc_column_text][\/vc_column][\/vc_row][vc_row top_padding=&#8221;30&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text] What is Predictive Analytics? [\/vc_column_text][vc_column_text]Predictive Analytics provides tools to estimate unknown or uncertain business data, or data demanding a manual or expensive process to be obtained.\u00a0Beyond the strictly pure analysis of historical information performed by descriptive analytics, data predictions performed by predictive analytics support business decisions and allow, among others:[\/vc_column_text][\/vc_column][\/vc_row][vc_row top_padding=&#8221;30&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/1&#8243;][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#f1f1f1&#8243; text_align=&#8221;center&#8221; top_padding=&#8221;30&#8243; bottom_padding=&#8221;30&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text] How does it work? In order to estimate unknown information, Predictive Analytics uses a series of techniques, among which classification, prediction and segmentation are found: [\/vc_column_text][vc_row_inner][vc_column_inner width=&#8221;1\/3&#8243;][vc_column_text] Automatic classification of information. [\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][vc_column_text] Prediction or regression of future values on the basis of historical ones. [\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/3&#8243;][vc_column_text] Segmentation of data in order to discover hidden interest groups. [\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#2b99cc&#8221; text_color=&#8221;light&#8221; top_padding=&#8221;15&#8243; bottom_padding=&#8221;15&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_raw_html]JTNDcCUyMHN0eWxlJTNEJTIybGluZS1oZWlnaHQlM0ElMjAyOHB4JTNCJTIwZm9udC13ZWlnaHQlM0ElMjAxMDAlM0IlMjBmb250LWZhbWlseSUzQSUyME9wZW4lMjBTYW5zJTNCJTIwZm9udC1zaXplJTNBJTIwMjBweCUzQiUyMHRleHQtYWxpZ24lM0ElMjBjZW50ZXIlM0IlMjIlM0VQcmVkaWN0aXZlJTIwQW5hbHl0aWNzJTIwdXNlcyUyMGNsYXNzaWZpY2F0aW9uJTJDJTIwcHJlZGljdGlvbiUyMGFuZCUyMHNlZ21lbnRhdGlvbiUyMHRlY2huaXF1ZXMuJTNDJTJGcCUzRQ==[\/vc_raw_html][\/vc_column][\/vc_row]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":2432,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-5582","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Predictive Analytics - IIC<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.iic.uam.es\/en\/big-data\/predictive-analytics\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Predictive Analytics - IIC\" \/>\n<meta property=\"og:description\" content=\"[vc_row type=&#8221;full_width_section&#8221; top_padding=&#8221;-10&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text][\/vc_column_text][\/vc_column][\/vc_row][vc_row top_padding=&#8221;30&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text] What is Predictive Analytics? [\/vc_column_text][vc_column_text]Predictive Analytics provides tools to estimate unknown or uncertain business data, or data demanding a manual or expensive process to be obtained.\u00a0Beyond the strictly pure analysis of historical information performed by descriptive analytics, data predictions performed by predictive analytics support business decisions and allow, among others:[\/vc_column_text][\/vc_column][\/vc_row][vc_row top_padding=&#8221;30&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][\/vc_column][\/vc_row][vc_row][vc_column width=&#8221;1\/1&#8243;][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#f1f1f1&#8243; text_align=&#8221;center&#8221; top_padding=&#8221;30&#8243; bottom_padding=&#8221;30&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text] How does it work? 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