{"id":1744,"date":"2015-12-29T11:38:07","date_gmt":"2015-12-29T11:38:07","guid":{"rendered":"http:\/\/www.iic.uam.es\/\/?page_id=1744"},"modified":"2017-03-27T11:02:27","modified_gmt":"2017-03-27T11:02:27","slug":"tailored-studies","status":"publish","type":"page","link":"https:\/\/www.iic.uam.es\/en\/big-data-services\/hr-environment\/tailored-studies\/","title":{"rendered":"HR Analytics: Tailored Studies"},"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_54_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_54_1\" class=\"rev_slider fullwidthabanner\" style=\"display:none;\" data-version=\"5.0.9\">\n<ul>\t<!-- SLIDE  -->\n\t<li data-index=\"rs-77\" 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\/HR-analytics.jpg\"  alt=\"HR-Analytics\"  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-77-layer-1\" \n\t\t\t data-x=\"center\" data-hoffset=\"\" \n\t\t\t data-y=\"center\" data-voffset=\"-50\" \n\t\t\t\t\t\tdata-width=\"['880']\"\n\t\t\tdata-height=\"['70']\"\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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Knowledge and experience of the IIC team of professionals \u2014psychologists, psychometricians and data scientists\u2014 guarantee the quality of these <strong>HR Analytics projects<\/strong>.<\/p>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#f7f7f7&#8243; top_padding=&#8221;40&#8243; bottom_padding=&#8221;10&#8243;][vc_column width=&#8221;1\/2&#8243;][vc_column_text]\n<h3 style=\"text-align: left;\"><span style=\"color: #9f1700;\">What do HR Analytics Projects involve?<\/span><\/h3>\n[\/vc_column_text][vc_column_text]\n<p style=\"text-align: justify;\">The chances of obtaining <strong>valuable information from data <\/strong>processed by Human Resources departments have considerably increased since the incorporation of <a href=\"\/en\/big-data\/\">Big Data technologies<\/a>. At IIC knowledge and methodology of a team of psychologists and technology and mathematics of a team of data scientists are combined to analyse a great amount of highly different types of data whose complexity requires using advanced analytics.<\/p>\n<p style=\"text-align: justify;\"><strong>HR Analytics projects<\/strong> contribute to optimise recruitment processes, identify the variables explaining absenteeism or employee turnover, find hidden leaders in organisations, improve the organizational structure or analyse professional profiles with the highest potential.<\/p>\n[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_column_text]\n<h3 style=\"text-align: left;\"><span style=\"color: #9f1700;\">How do we conceive HR Analytics projects?<\/span><\/h3>\n[\/vc_column_text][vc_column_text]HR Analytics projects are always carried out in close collaboration with our clients, especially at the beginning of the process, as the key questions guiding it must be identified, and search and<strong> compilation of data <\/strong>must be carried out.<\/p>\n<p>Our methodology at IIC is based on 5 steps required to approach <strong>HR Analytics<\/strong> projects with the highest accuracy and aiming to the usefulness of results at any time.<\/p>\n<ol>\n<li style=\"text-align: justify;\">Identification of Key Issues to be solved<\/li>\n<li style=\"text-align: justify;\">Research Design<\/li>\n<li style=\"text-align: justify;\">Identification of Data<\/li>\n<li style=\"text-align: justify;\">Advanced Statistics<\/li>\n<li style=\"text-align: justify;\">Intelligence Automatization<\/li>\n<\/ol>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row top_padding=&#8221;15&#8243; bottom_padding=&#8221;0&#8243;][vc_column width=&#8221;1\/1&#8243;]<div class=\"single_image wpb_content_element align-center \" data-animation=\"none\" data-delay=\"\"><img decoding=\"async\" src=\"https:\/\/www.iic.uam.es\/wp-content\/uploads\/2015\/12\/hr-analytics_en.jpg\" alt=\"HR Analytics\" \/><\/div>[vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text]\n<p style=\"text-align: right;\">We also create and train <strong>Machine Learning algorithm models<\/strong> that may provide real-time information about every client and can be integrated into the ERP systems or DB used by the organisation.<\/p>\n[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text]\n<p style=\"text-align: left;\">We count on experts in HR, psychometricians, mathematicians, IT engineers, linguists, organizational analysts and experts in <strong>Big Data analysis<\/strong>, which allows us to face a wide variety of issues.<\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row type=&#8221;full_width_section&#8221; top_padding=&#8221;0&#8243; bottom_padding=&#8221;0&#8243;][vc_column width=&#8221;1\/1&#8243;]<div class=\"divider divider1\" style='margin:20px 0 20px 0 !important;'><\/div>[\/vc_column][\/vc_row][vc_row top_padding=&#8221;0&#8243; bottom_padding=&#8221;0&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text]\n<h3 style=\"text-align: center;\"><span style=\"color: #9f1700;\">HR Analytics benefits<\/span><\/h3>\n<p style=\"text-align: center; font-size: 23px;\"><span style=\"color: #bbbbbb;\">HR Analytics projects provide:<\/span><\/p>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row top_padding=&#8221;0&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/3&#8243;]<div class=\"iconbox  wpb_content_element iconbox-style-1 icon-color-accent color-dark\"><h3><i class=\"fa sl-target boxicon\" style=\"\"><\/i>Increase in benefits<\/h3><p>Having information on certain profiles leads to an increase in benefits. For instance, predicting which sales candidates will have higher chances of success.<\/p><\/div><div class=\"iconbox  wpb_content_element iconbox-style-1 icon-color-accent color-dark\"><h3><i class=\"fa sl-wallet boxicon\" style=\"\"><\/i>Reduction of costs<\/h3><p>HR Managers have at their disposal clear and objective information to make decisions and take specific actions, thus <strong>saving costs<\/strong>. For instance, predicting success of candidates at an early stage of the recruitment process might save costs in the whole process.<\/p><\/div>[\/vc_column][vc_column width=&#8221;1\/3&#8243;]<div class=\"single_image wpb_content_element align-center \" data-animation=\"none\" data-delay=\"\"><img decoding=\"async\" src=\"https:\/\/www.iic.uam.es\/wp-content\/uploads\/2015\/11\/HR_Analytics.jpg\" alt=\"HR\" \/><\/div><div class=\"iconbox  wpb_content_element iconbox-style-1 icon-color-accent color-dark\"><h3><i class=\"fa sl-compass boxicon\" style=\"\"><\/i>Valuable information<\/h3><p>Information of value for decision making processes that would significantly impact business.<\/p><\/div>[\/vc_column][vc_column width=&#8221;1\/3&#8243;]<div class=\"iconbox  wpb_content_element iconbox-style-1 icon-color-accent color-dark\"><h3><i class=\"fa sl-users boxicon\" style=\"\"><\/i>Avoid losses<\/h3><p>Analysing information from Human Resources departments may contribute to avoid losses. For instance, making a monthly prediction of absenteeism in different work shifts in a factory helps anticipating and hiring new staff for specific work shifts and dates, avoiding lower productivity.<\/p><\/div><div class=\"iconbox  wpb_content_element iconbox-style-1 icon-color-accent color-dark\"><h3><i class=\"fa sl-compass boxicon\" style=\"\"><\/i>Knowledge to take actions<\/h3><p>Analysing non-causal relationships between multiple HR variables and variables from other departments or even from external data help organizations explain and predict unknown phenomena that were undiscovered or were hidden for the organisation.<\/p><\/div>[\/vc_column][\/vc_row][vc_row bg_color=&#8221;#f7f7f7&#8243; top_padding=&#8221;25&#8243; bottom_padding=&#8221;0&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text]\n<h3 style=\"text-align: center;\"><span style=\"color: #9f1700;\">Why choosing us for your HR Analytics project?<\/span><\/h3>\n<p style=\"text-align: center; font-size: 23px;\"><span style=\"color: #bbbbbb;\">IIC provides a clear value-added service to HR Analytics projects:<\/span><\/p>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#f7f7f7&#8243; top_padding=&#8221;0&#8243; bottom_padding=&#8221;0&#8243;][vc_column width=&#8221;1\/2&#8243;][vc_column_text]\n<ul>\n<li style=\"padding-bottom: 15px;\">We have over 25 years\u2019 experience handling HR data and performing psychometric studies with the aim to explain and <strong>predict HR phenomena<\/strong>.<\/li>\n<li style=\"padding-bottom: 15px;\">Our own team is composed of <strong>highly specialised<\/strong> and qualified psychologists, psychometricians and data scientists.<\/li>\n<li style=\"padding-bottom: 15px;\">We count on first-hand experience in <strong>HR Analytics projects<\/strong>, which helps us learn from every project and incorporate new insights into the following ones, besides sharing successful case studies with some other organizations.<\/li>\n<li style=\"padding-bottom: 15px;\">We help our clients during the whole process, especially on the first steps. We are aware of the novelty and complexity of our projects, and we can <strong>help you define<\/strong> realistic and clear projects to guarantee effectiveness.<\/li>\n<\/ul>\n[\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_column_text]\n<ul>\n<li style=\"padding-bottom: 15px;\">We learn by working with every new client to <strong>improve our methodologies and<\/strong> <strong>algorithm models continuously<\/strong>, so our clients benefit themselves as their services are also improved.<\/li>\n<li style=\"padding-bottom: 15px;\">We take part in groups and lines of research of the Psychometric Models and Applications Chair and the Data Science &amp; Machine Learning Chair. Both of them belong to the UAM and are sponsored by IIC, and allow us introducing innovations in our projects and training our professionals.<\/li>\n<li style=\"padding-bottom: 15px;\">We foster research and knowledge about <strong>HR Analytics<\/strong>: we publish HR posts, articles and news periodically, as well as posters in prestigious congresses.<\/li>\n<\/ul>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row type=&#8221;full_width_section&#8221;][vc_column width=&#8221;1\/1&#8243;]<div class=\"divider divider1\" style='margin:0 !important;'><\/div>[\/vc_column][\/vc_row][vc_row top_padding=&#8221;30&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text]\n<h3 style=\"text-align: center;\"><span style=\"color: #9f1700;\">Solutions implemented so far<\/span><\/h3>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row top_padding=&#8221;20&#8243; bottom_padding=&#8221;0&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_row_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text]We count on first-hand experience in HR Analytics projects focused on different aspects: predictive studies on employee turnover, recruitment success, and potential performance, sales representatives performance; automatic analysis of CVs, optimization of organisational structure, etc.[\/vc_column_text][\/vc_column_inner][vc_column_inner width=&#8221;1\/2&#8243;][vc_column_text]\n<p style=\"text-align: justify;\">We have also worked with cutting-edge companies with a clear and specific objective with the aim to <strong>improve their own algorithm models<\/strong> or to create and train a brand-new model.<\/p>\n[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][vc_column_text]\n<p style=\"text-align: center;\">We have initiated some organisations into this kind of projects, <strong>helping them analyse the quality of data<\/strong> in order to determine the key questions that need to be solved.<\/p>\n[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]\n[\/vc_column_text][\/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]JTNDcCUyMHN0eWxlJTNEJTIybGluZS1oZWlnaHQlM0ElMjAyOHB4JTNCJTIwZm9udC13ZWlnaHQlM0ElMjAxMDAlM0IlMjBmb250LWZhbWlseSUzQSUyME9wZW4lMjBTYW5zJTNCJTIwZm9udC1zaXplJTNBJTIwMjBweCUzQiUyMHRleHQtYWxpZ24lM0ElMjBjZW50ZXIlM0IlMjIlM0VXZSUyMGdlbmVyYXRlJTIwY3VzdG9taXNlZCUyMHJlcG9ydHMlMjBmb3IlMjBjbGllbnRzJTIwYWNjb3JkaW5nJTIwdG8lMjB0aGVpciUyMG5lZWRzLiUzQyUyRnAlM0U=[\/vc_raw_html][\/vc_column][\/vc_row][vc_row bg_image=&#8221;2082&#8243; top_padding=&#8221;40&#8243; bottom_padding=&#8221;40&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text]\n<p style=\"text-align: center;\"><a href=\"\/en\/more-information\/\" target=\"_self\" class=\"button color-8 large \" style=\"border-radius: 2px;\">MORE INFORMATION<\/a>\n[\/vc_column_text][\/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][vc_column][vc_column_text] [\/vc_column_text][\/vc_column][\/vc_row][vc_row top_padding=&#8221;10&#8243; bottom_padding=&#8221;30&#8243;][vc_column width=&#8221;1\/1&#8243;][vc_column_text] We design HR Analytics projects to predict, explain and optimise HR phenomena from the viewpoint of complex analytics. Knowledge and experience of the IIC team of professionals \u2014psychologists, psychometricians and data scientists\u2014 guarantee the quality of these HR Analytics projects. [\/vc_column_text][\/vc_column][\/vc_row][vc_row bg_color=&#8221;#f7f7f7&#8243; top_padding=&#8221;40&#8243; bottom_padding=&#8221;10&#8243;][vc_column width=&#8221;1\/2&#8243;][vc_column_text] What do HR Analytics Projects involve? [\/vc_column_text][vc_column_text] The chances of obtaining valuable information from data processed by Human Resources departments have considerably increased since the incorporation of Big Data technologies. At IIC knowledge and methodology of a team of psychologists and technology and mathematics of a team of data scientists are combined to analyse a great amount of highly different types of data whose complexity requires using advanced analytics. HR Analytics projects contribute to optimise recruitment processes, identify the variables explaining absenteeism or employee turnover, find hidden leaders in organisations, improve the organizational structure or analyse professional profiles with the highest potential. [\/vc_column_text][\/vc_column][vc_column width=&#8221;1\/2&#8243;][vc_column_text] How do we conceive HR Analytics projects? [\/vc_column_text][vc_column_text]HR Analytics projects are always carried out in close collaboration with our clients, especially at the beginning of the process, as the key questions guiding it must be identified, and search and compilation of data must [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":1691,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1744","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>HR Analytics: Tailored Studies - IIC<\/title>\n<meta name=\"description\" content=\"We design HR Analytics projects to predict, explain and optimise HR phenomena from the viewpoint of complex analytics.\" \/>\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-services\/hr-environment\/tailored-studies\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"HR Analytics: Tailored Studies - 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