{"id":4667,"date":"2021-09-08T12:27:03","date_gmt":"2021-09-08T17:27:03","guid":{"rendered":"https:\/\/multilatinasforbesllyc.enforb.es\/que-es-el-das\/"},"modified":"2021-10-07T17:36:10","modified_gmt":"2021-10-07T22:36:10","slug":"what-is-the-das","status":"publish","type":"page","link":"https:\/\/multilatinasforbesllyc.enforb.es\/en\/what-is-the-das\/","title":{"rendered":"What is the DAS?"},"content":{"rendered":"<p>[vc_row css=&#8221;.vc_custom_1631121882422{padding-bottom: 35px !important;}&#8221;][vc_column width=&#8221;7\/12&#8243;][vc_row_inner][vc_column_inner][vc_custom_heading text=&#8221;The tool to establish prediction models in communication&#8221; use_theme_fonts=&#8221;yes&#8221;][vc_empty_space][vc_column_text]The Data Analytics Suite, known by its acronym DAS, is an information analysis model from LLYC that is based on <strong>NLP (Neuro-linguistic programming)<\/strong> for the semantic analysis of conversations, <strong>ML (Machine Learning)<\/strong> for thematic classification, and <strong>SNA (Social network analysis)<\/strong> for the analysis of the relationships.<\/p>\n<p>Using <strong><em>big data<\/em> and the analysis of millions of messages<\/strong>, the system extracts information to show the conversation territories, the communities that participate, and the narratives that impact public opinion.<\/p>\n<p>This process allows generating <strong>sociograms on key issues<\/strong>, identifying the drivers of the conversation, the leaders in each community, and their relationship with those who participate.[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][vc_column width=&#8221;5\/12&#8243;][vc_row_inner][vc_column_inner css=&#8221;.vc_custom_1632321147359{background-image: url(https:\/\/multilatinasforbesllyc.enforb.es\/wp-content\/uploads\/2021\/09\/graph.png?id=4312) !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}&#8221;][vc_empty_space height=&#8221;450px&#8221;][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row full_width=&#8221;stretch_row&#8221; css=&#8221;.vc_custom_1631121926723{background-color: #000000 !important;}&#8221;][vc_column][vc_row_inner][vc_column_inner][vc_custom_heading text=&#8221;The types of model&#8221; font_container=&#8221;tag:h2|text_align:left|color:%23ffffff&#8221; use_theme_fonts=&#8221;yes&#8221;][vc_empty_space][vc_column_text el_class=&#8221;white-text&#8221;]The DAS adapts to the needs and characteristics of the conversation to obtain relevant insights according to what you want to identify.<\/p>\n<p>Different models have been developed at LLYC, including:<\/p>\n<ul>\n<li><strong>Orion Model:<\/strong> with large-scale relationship analysis, Twitter, and RT patterns.<\/li>\n<li><strong>Pleiades model:<\/strong> with custom metrics, KPI tracking, and PDF reports.<\/li>\n<li><strong>Andromeda model:<\/strong> processes of conversation depoliticization and the inference of ideological polarity.<\/li>\n<li><strong>Perseus model:<\/strong> the presence of brands in key territories and quantitative analysis.<\/li>\n<li><strong>Cygnus model:<\/strong> investigation of territories with high growth potential and multispectral analysis: search engines, conversation, and media.<\/li>\n<li><strong>Omega model:<\/strong> inference of patterns in the use of language and semantic analysis of discourses.<\/li>\n<li><strong>Cassiopeia Model:<\/strong> study of language styles, vertical stakeholder groups, and segmentation.<\/li>\n<\/ul>\n<p>[\/vc_column_text][\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row full_width=&#8221;stretch_row&#8221; gap=&#8221;10&#8243; css=&#8221;.vc_custom_1631285467033{padding-top: 20px !important;background-color: #000000 !important;}&#8221;][vc_column width=&#8221;2\/3&#8243; css=&#8221;.vc_custom_1631052153072{padding: 2% !important;}&#8221;]<style type=\"text\/css\" data-type=\"the7_shortcodes-inline-css\">.shortcode-single-image-wrap.shortcode-single-image-701e55e66becb78a1be375bf1d3ea677.enable-bg-rollover .rollover i,\n.shortcode-single-image-wrap.shortcode-single-image-701e55e66becb78a1be375bf1d3ea677.enable-bg-rollover .rollover-video i {\n  background: -webkit-linear-gradient();\n  background: linear-gradient();\n}\n.shortcode-single-image-wrap.shortcode-single-image-701e55e66becb78a1be375bf1d3ea677 .rollover-icon {\n  font-size: 32px;\n  color: #ffffff;\n  min-width: 44px;\n  min-height: 44px;\n  line-height: 44px;\n  border-radius: 100px;\n  border-style: solid;\n  border-width: 0px;\n}\n.dt-icon-bg-on.shortcode-single-image-wrap.shortcode-single-image-701e55e66becb78a1be375bf1d3ea677 .rollover-icon {\n  background: rgba(255,255,255,0.3);\n  box-shadow: none;\n}\n<\/style><div class=\"shortcode-single-image-wrap shortcode-single-image-701e55e66becb78a1be375bf1d3ea677 alignleft  enable-bg-rollover dt-icon-bg-off\" style=\"margin-top:0px; 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font_container=&#8221;tag:h3|font_size:40px|text_align:left|color:%23ffffff|line_height:40px&#8221; use_theme_fonts=&#8221;yes&#8221;][\/vc_column][vc_column width=&#8221;1\/3&#8243;][vc_btn title=&#8221;Download&#8221; style=&#8221;flat&#8221; shape=&#8221;square&#8221; color=&#8221;juicy-pink&#8221; align=&#8221;center&#8221; i_icon_fontawesome=&#8221;fas fa-download&#8221; button_block=&#8221;true&#8221; add_icon=&#8221;true&#8221; el_class=&#8221;download-button&#8221;][\/vc_column][\/vc_row][vc_row css_animation=&#8221;fadeIn&#8221; css=&#8221;.vc_custom_1630521916937{padding-top: 5% !important;padding-bottom: 5% !important;}&#8221;][vc_column][vc_row_inner gap=&#8221;30&#8243;][vc_column_inner el_class=&#8221;custom-height&#8221; width=&#8221;1\/3&#8243; css=&#8221;.vc_custom_1632321815789{padding-top: 60px !important;padding-right: 10% !important;padding-bottom: 60px !important;padding-left: 10% !important;background-image: url(https:\/\/multilatinasforbesllyc.enforb.es\/wp-content\/uploads\/2021\/08\/multilatinas.png?id=3465) !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}&#8221; el_id=&#8221;tendencia-clave&#8221;]<div id=\"ultimate-heading-415369d0dd041bd44\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-415369d0dd041bd44 uvc-5349 \" data-hspacer=\"no_spacer\"  data-halign=\"left\" style=\"text-align:left\"><div class=\"uvc-heading-spacer no_spacer\" style=\"top\"><\/div><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-415369d0dd041bd44 h2'  data-responsive-json-new='{\"font-size\":\"desktop:50px;\",\"line-height\":\"desktop:60px;\"}' ><h2 style=\"font-weight:bold;color:#ffffff;\">1.<\/h2><\/div><div class=\"uvc-sub-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-415369d0dd041bd44 .uvc-sub-heading '  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}'  style=\"font-weight:normal;color:#ffffff;\"><\/p>\n<h4 style=\"color: white;\">KEY TRENDS<\/h4>\n<p><a class=\"index\" title=\"TENDENCIAS CLAVE\" href=\"\/tendencias-clave\/\">This new normal, post-pandemic and post-crisis, poses complex environments to which companies can not only respond.<\/a><\/div><\/div>[\/vc_column_inner][vc_column_inner el_class=&#8221;custom-height&#8221; width=&#8221;1\/3&#8243; css=&#8221;.vc_custom_1632267024456{padding-top: 60px !important;padding-right: 10% !important;padding-bottom: 30px !important;padding-left: 10% !important;background: #01223a url(https:\/\/multilatinasforbesllyc.enforb.es\/wp-content\/uploads\/2021\/08\/2-forbes.jpg?id=3502) !important;background-position: center !important;background-repeat: no-repeat !important;background-size: cover !important;}&#8221; el_id=&#8221;multilatina&#8221;]<div id=\"ultimate-heading-970769d0dd041bde5\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-970769d0dd041bde5 uvc-1972 \" data-hspacer=\"no_spacer\"  data-halign=\"left\" style=\"text-align:left\"><div class=\"uvc-heading-spacer no_spacer\" style=\"top\"><\/div><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-970769d0dd041bde5 h2'  data-responsive-json-new='{\"font-size\":\"desktop:50px;\",\"line-height\":\"desktop:60px;\"}' ><h2 style=\"font-weight:bold;color:#ffffff;\">2.<\/h2><\/div><div class=\"uvc-sub-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-970769d0dd041bde5 .uvc-sub-heading '  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}'  style=\"font-weight:normal;color:#ffffff;\"><\/p>\n<h4 style=\"color: white;\">THE MULTILATINA BRAND: A MARKET OF OPPORTUNITIES<\/h4>\n<p>In addition to the challenges and trends that multilatinas have, which only differ from global companies because of&#8230;<\/div><\/div>[\/vc_column_inner][vc_column_inner el_class=&#8221;custom-height&#8221; width=&#8221;1\/3&#8243; css=&#8221;.vc_custom_1632321838664{padding-top: 60px !important;padding-right: 10% !important;padding-bottom: 35px !important;padding-left: 10% !important;background-color: #000000 !important;}&#8221; el_id=&#8221;conclucion&#8221;]<div id=\"ultimate-heading-953169d0dd041be6a\" class=\"uvc-heading ult-adjust-bottom-margin ultimate-heading-953169d0dd041be6a uvc-9746 \" data-hspacer=\"no_spacer\"  data-halign=\"left\" style=\"text-align:left\"><div class=\"uvc-heading-spacer no_spacer\" style=\"top\"><\/div><div class=\"uvc-main-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-953169d0dd041be6a h2'  data-responsive-json-new='{\"font-size\":\"desktop:50px;\",\"line-height\":\"desktop:60px;\"}' ><h2 style=\"font-weight:bold;color:#ffffff;\">3.<\/h2><\/div><div class=\"uvc-sub-heading ult-responsive\"  data-ultimate-target='.uvc-heading.ultimate-heading-953169d0dd041be6a .uvc-sub-heading '  data-responsive-json-new='{\"font-size\":\"\",\"line-height\":\"\"}'  style=\"font-weight:normal;color:#ffffff;\"><\/p>\n<h4 style=\"color: white;\">CONCLUSIONS<\/h4>\n<p>After analyzing multilatinas and their business performance from a glocal perspective, starting from global trends to local success&#8230;<\/div><\/div>[\/vc_column_inner][\/vc_row_inner][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<script>\n\tdocument.getElementById('tendencia-clave').addEventListener('click', function() {\n    \tlocation.href = '\/en\/tendencias-clave\/'\n    }, false);\n          \n    document.getElementById('multilatina').addEventListener('click', function() {\n    \tlocation.href = '\/en\/la-marca-multilatina-un-mercado-de-oportunidades\/'\n    }, false);\n\t\n\tdocument.getElementById('conclucion').addEventListener('click', function() {\n\t\tlocation.href = '\/en\/conclusiones\/'\n    }, false);\n\t<\/script>[\/vc_column_text][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>[vc_row css=&#8221;.vc_custom_1631121882422{padding-bottom: 35px !important;}&#8221;][vc_column width=&#8221;7\/12&#8243;][vc_row_inner][vc_column_inner][vc_custom_heading text=&#8221;The tool to establish prediction models in communication&#8221; use_theme_fonts=&#8221;yes&#8221;][vc_empty_space][vc_column_text]The Data Analytics Suite, known by its acronym DAS, is an information analysis model from LLYC that is based on NLP (Neuro-linguistic programming) for the semantic analysis of conversations, ML (Machine Learning) for thematic classification, and SNA (Social network analysis) for the&hellip;<\/p>\n","protected":false},"author":2,"featured_media":4646,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"content-type":""},"class_list":["post-4667","page","type-page","status-publish","has-post-thumbnail","hentry","description-off"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v20.12 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>What is the DAS? - Multilatinas Forbes | LLYC<\/title>\n<meta name=\"description\" content=\"DAS, LLYC\u2019s big data analysis system for establishing prediction models.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/multilatinasforbesllyc.enforb.es\/en\/what-is-the-das\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"\u00bfQu\u00e9 es el 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