{"id":2482,"date":"2016-01-21T10:23:33","date_gmt":"2016-01-21T10:23:33","guid":{"rendered":"http:\/\/www.iic.uam.es\/\/?page_id=2482"},"modified":"2017-07-11T12:46:43","modified_gmt":"2017-07-11T10:46:43","slug":"customer-intelligence-environment","status":"publish","type":"page","link":"https:\/\/www.iic.uam.es\/en\/big-data-services\/customer-intelligence-environment\/","title":{"rendered":"Customer Intelligence Environment"},"content":{"rendered":"[vc_row type=&#8221;full_width_section&#8221; top_padding=&#8221;-10&#8243;][vc_column width=&#8221;1\/1&#8243; delay=&#8221;500&#8243;][vc_column_text]\n<div id=\"rev_slider_100_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_100_1\" class=\"rev_slider fullwidthabanner\" style=\"display:none;\" data-version=\"5.0.9\">\n<ul>\t<!-- SLIDE  -->\n\t<li data-index=\"rs-141\" 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\/02\/cabecera_inteligencial.jpg\"  alt=\"Entorno Inteligencia de Cliente\"  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-141-layer-1\" \n\t\t\t data-x=\"center\" data-hoffset=\"\" \n\t\t\t data-y=\"center\" data-voffset=\"-80\" \n\t\t\t\t\t\tdata-width=\"['1200']\"\n\t\t\tdata-height=\"['30']\"\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; 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Nowadays, organizations have a lot of information available about their clients, gathered from many diverse sources. This has generated such a large volume of data that extracting value out of them for business has posed a great challenge for departments dealing with Business Intelligence.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#f1f1f1&#8243; top_padding=&#8221;40&#8243; bottom_padding=&#8221;30&#8243;][vc_column animation=&#8221;fade-in-from-bottom&#8221; text_align=&#8221;center&#8221; width=&#8221;1\/2&#8243; delay=&#8221;500&#8243;][vc_row_inner][vc_column_inner width=&#8221;1\/4&#8243;][\/vc_column_inner][vc_column_inner width=&#8221;3\/4&#8243;]<div class=\"single_image wpb_content_element align-center \" data-animation=\"none\" data-delay=\"\"><a href=\"\/en\/big-data-services\/customer-intelligence-environment\/cis-en\/\" ><img decoding=\"async\" src=\"https:\/\/www.iic.uam.es\/wp-content\/uploads\/2015\/11\/CIS.png\" alt=\"\" \/><\/a><\/div>[vc_column_text]\n<p style=\"text-align: center; font-size: 18px; line-height: 22px;\"><span style=\"color: #878787;\">Consultancy service that illustrates or predicts consumers\u2019 behaviour<\/span><\/p>\n[\/vc_column_text]<a href=\"\/en\/big-data-services\/customer-intelligence-environment\/cis-en\/\" target=\"_self\" class=\"button blue small \" style=\"border-radius: 2px;\">CIS<\/a>[\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column animation=&#8221;fade-in-from-bottom&#8221; text_align=&#8221;center&#8221; width=&#8221;1\/2&#8243;][vc_row_inner][vc_column_inner width=&#8221;3\/4&#8243;]<div class=\"single_image wpb_content_element align-center \" data-animation=\"none\" data-delay=\"\"><a href=\"\/en\/big-data-services\/customer-intelligence-environment\/automatic-text-analysis\/\" ><img decoding=\"async\" src=\"https:\/\/www.iic.uam.es\/wp-content\/uploads\/2015\/11\/analisis-texto.png\" alt=\"\" \/><\/a><\/div>[vc_column_text]\n<p style=\"text-align: center; font-size: 18px; line-height: 22px;\"><span style=\"color: #878787;\">Computational Linguistics and Statistics support Automatic Text Analysis<\/span><\/p>\n[\/vc_column_text]<a href=\"\/en\/big-data-services\/customer-intelligence-environment\/automatic-text-analysis\/\" target=\"_self\" class=\"button blue small \" style=\"border-radius: 2px;\">Text analysis<\/a>[\/vc_column_inner][vc_column_inner width=&#8221;1\/4&#8243;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#ffffff&#8221; top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column animation=&#8221;fade-in-from-bottom&#8221; width=&#8221;1\/1&#8243; delay=&#8221;500&#8243;][vc_column_text]\n<h3 style=\"text-align: center;\"><span style=\"color: #c74242;\"><span style=\"color: #9f1700;\">Customer Intelligence Solutions (CIS)[\/vc_column_text][vc_column_text]\n<\/span><\/span><\/h3>\n<p style=\"text-align: justify;\">On the basis of the information gathered about buying habits of customers, their opinions, the pages they visit or their relations, Big Data technologies would generate a global vision of the business, improve their KPIs and offer a quantifiable return.<\/p>\n<p style=\"text-align: justify;\"><a href=\"\/en\/big-data-services\/customer-intelligence-environment\/cis-en\/\">Customer Intelligence Solutions (CIS)<\/a> designs a set of solutions for commercial management conceived at IIC to:<\/p>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row top_padding=&#8221;0&#8243; bottom_padding=&#8221;40&#8243;][vc_column animation=&#8221;fade-in-from-bottom&#8221; width=&#8221;1\/2&#8243; delay=&#8221;500&#8243;]<div class=\"iconbox  wpb_content_element iconbox-style-1 icon-color-accent color-dark\"><h3><i class=\"fa sl-bubbles boxicon\" style=\"\"><\/i>Detect the social contagion<\/h3><p>\n<p style=\"text-align: justify;\">Know which users are more likely to adopt or abandon a brand or product. It is more likely that a client subscribes or unsubscribes from a service or purchases a product if some of their contacts or friends have already done it.<\/p>\n<\/p><\/div><div class=\"spacer\" style=\"height: 40px;\"><\/div><div class=\"iconbox  wpb_content_element iconbox-style-1 icon-color-accent color-dark\"><h3><i class=\"fa sl-user-female boxicon\" style=\"\"><\/i>Know your client better<\/h3><p>\n<p style=\"text-align: justify;\">Gather more detailed information about the users of a brand.<\/p>\n<\/p><\/div>[\/vc_column][vc_column animation=&#8221;fade-in-from-bottom&#8221; width=&#8221;1\/2&#8243;]<div class=\"iconbox  wpb_content_element iconbox-style-1 icon-color-accent color-dark\"><h3><i class=\"fa sl-bag boxicon\" style=\"\"><\/i>Detect the client\u2019s intention<\/h3><p>\n<p style=\"text-align: justify;\">Analyse comments in customer complaints.<\/p>\n<\/p><\/div><div class=\"iconbox  wpb_content_element iconbox-style-1 icon-color-accent color-dark\"><h3><i class=\"fa sl-badge boxicon\" style=\"\"><\/i>Evaluate the success of a business<\/h3><p>\n<p style=\"text-align: justify;\">Predict the volume and revenue of future purchases in a particular area on the basis of geolocation information on purchases.<\/p>\n<\/p><\/div><div class=\"iconbox  wpb_content_element iconbox-style-1 icon-color-accent color-dark\"><h3><i class=\"fa sl-equalizer boxicon\" style=\"\"><\/i>Perform market segmentations<\/h3><p>\n<p style=\"text-align: justify;\">Find patterns on the basis of the users\u2019 behaviour.<\/p>\n<\/p><\/div>[\/vc_column][\/vc_row][vc_row bg_color=&#8221;#ffffff&#8221;][vc_column animation=&#8221;fade-in-from-bottom&#8221; 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