{"id":16234,"date":"2024-11-15T14:26:31","date_gmt":"2024-11-15T19:26:31","guid":{"rendered":"https:\/\/dataknow.io\/?p=16234"},"modified":"2024-11-15T14:32:31","modified_gmt":"2024-11-15T19:32:31","slug":"business-intelligence-and-data-science-synonyms-friends-or-enemies","status":"publish","type":"post","link":"https:\/\/dataknow.io\/en\/business-intelligence-and-data-science-synonyms-friends-or-enemies\/","title":{"rendered":"Business Intelligence and Data Science: Synonyms, Friends, or Enemies?"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"16234\" class=\"elementor elementor-16234\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-8a2c05e elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"8a2c05e\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-76cd7af ot-flex-column-vertical\" data-id=\"76cd7af\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-318c6d9 elementor-widget elementor-widget-heading\" data-id=\"318c6d9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.17.0 - 08-11-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h4 class=\"elementor-heading-title elementor-size-default\">By Andr\u00e9s Florez Llano\n\n<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f11478b elementor-widget elementor-widget-heading\" data-id=\"f11478b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">The Path to Analytical Maturity<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3960a6a elementor-widget elementor-widget-text-editor\" data-id=\"3960a6a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.17.0 - 08-11-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>Let\u2019s talk a little about Business Intelligence, Business Analytics, and Big Data, and their value on the journey toward achieving analytical maturity. For this, we must introduce the concept of the Analytical Route Map. The Analytical Route Map is the path (redundantly speaking) that leads us to be able to use analytics in a company. These are the series of steps to take in order to achieve that much-desired maturity. They include all the stages, techniques, and processes that we go through and use to handle both.<\/p><p>It\u2019s important to emphasize that this is not a waterfall process. They can unfold in parallel with the processes of BI, BA, and Data Governance. It is also not necessary to have 100% polished Data Governance because data enrichment is continuous; that is, we will never have absolute governance over data. It\u2019s not necessary to have 100 variables to generate models\u201415 are enough to start generating value.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-45e96ef elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"45e96ef\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d716a7a ot-flex-column-vertical\" data-id=\"d716a7a\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-08becc9 elementor-widget elementor-widget-heading\" data-id=\"08becc9\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Business Intelligence\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-1bd5e7b elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"1bd5e7b\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-4cf860d ot-flex-column-vertical\" data-id=\"4cf860d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-45bd028 elementor-widget elementor-widget-text-editor\" data-id=\"45bd028\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>BI, or <a href=\"https:\/\/daki.ai\/analitica\/business-intelligence-para-empresas-como-puede-impactar\/\">Business Intelligence,<\/a> can be framed within the initial stages of analytics in companies. The concept became popular about 5 or 6 years ago. Large tech companies aimed to democratize information presentation. Many large tech companies wanted tools that could connect to these information systems and provide a functional business user with the ability to see deviations, groupings, and trends visually. These tools simplified the high volumes of raw data through aggregation processes. Over time, the need to manage information using cubes and business structures like snowflakes or star schemas grew, complementing the process with navigability in business hierarchies.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-11711e1 elementor-widget elementor-widget-image\" data-id=\"11711e1\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.17.0 - 08-11-2023 *\/\n.elementor-widget-image{text-align:center}.elementor-widget-image a{display:inline-block}.elementor-widget-image a img[src$=\".svg\"]{width:48px}.elementor-widget-image img{vertical-align:middle;display:inline-block}<\/style>\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1000\" height=\"667\" src=\"https:\/\/dataknow.io\/wp-content\/uploads\/2021\/09\/12-BI-o-Business-Intelligence.webp\" class=\"attachment-full size-full wp-image-11973\" alt=\"BI o Business Intelligence\" srcset=\"https:\/\/dataknow.io\/wp-content\/uploads\/2021\/09\/12-BI-o-Business-Intelligence.webp 1000w, https:\/\/dataknow.io\/wp-content\/uploads\/2021\/09\/12-BI-o-Business-Intelligence-300x200.webp 300w, https:\/\/dataknow.io\/wp-content\/uploads\/2021\/09\/12-BI-o-Business-Intelligence-768x512.webp 768w, https:\/\/dataknow.io\/wp-content\/uploads\/2021\/09\/12-BI-o-Business-Intelligence-750x500.webp 750w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-403cff8 elementor-widget elementor-widget-text-editor\" data-id=\"403cff8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In the Analytical Route Map, what we can frame within BI starts with access to multiple sources of raw information, moves through Ad-Hoc reporting and automation of reports, and ends with dashboards\u2014those famous control panels\u2014where people no longer need to request information from IT\/Data Governance\/Systems for the views they need. Instead, users can directly connect to the database, create their own cubes, and share near-real-time information with the company.<\/p><p>Dashboarding techniques and BI go hand in hand because the goal in the initial stages of the Analytical Route Map is to answer descriptive questions, such as: \u201cWhat is happening in the stores?\u201d or \u201cWhat is happening with sales?\u201d and gain control over events that are happening in real-time, telling the story of what happened and why it happened. BI through Dashboarding provides clear answers about what is happening in a descriptive manner, supported by clear data visualization techniques.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-053cd57 elementor-widget elementor-widget-video\" data-id=\"053cd57\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/CPnG3qjNsfw&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.17.0 - 08-11-2023 *\/\n.elementor-widget-video .elementor-widget-container{overflow:hidden;transform:translateZ(0)}.elementor-widget-video .elementor-wrapper{aspect-ratio:var(--video-aspect-ratio)}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{height:100%;width:100%;display:flex;border:none;background-color:#000}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-wrapper{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-wrapper iframe,.elementor-widget-video .elementor-wrapper video{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .elementor-open-inline .elementor-custom-embed-image-overlay{position:absolute;top:0;right:0;bottom:0;left:0;background-size:cover;background-position:50%}.elementor-widget-video .elementor-custom-embed-image-overlay{cursor:pointer;text-align:center}.elementor-widget-video .elementor-custom-embed-image-overlay:hover .elementor-custom-embed-play i{opacity:1}.elementor-widget-video .elementor-custom-embed-image-overlay img{display:block;width:100%;aspect-ratio:var(--video-aspect-ratio);-o-object-fit:cover;object-fit:cover;-o-object-position:center center;object-position:center center}@supports not (aspect-ratio:1\/1){.elementor-widget-video .elementor-custom-embed-image-overlay{position:relative;overflow:hidden;height:0;padding-bottom:calc(100% \/ var(--video-aspect-ratio))}.elementor-widget-video .elementor-custom-embed-image-overlay img{position:absolute;top:0;right:0;bottom:0;left:0}}.elementor-widget-video .e-hosted-video .elementor-video{-o-object-fit:cover;object-fit:cover}.e-con-inner>.elementor-widget-video,.e-con>.elementor-widget-video{width:var(--container-widget-width);--flex-grow:var(--container-widget-flex-grow)}<\/style>\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-138063b elementor-widget elementor-widget-text-editor\" data-id=\"138063b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Let\u2019s use a simple example: we are in the car, and the dashboard is the temperature or fuel gauge in the car\u2019s panel. If the gauge starts turning red, you need to take action. If the fuel gauge shows you\u2019re running out of gas, you can react and head to a station. You can respond to a car overheating or running out of fuel because your dashboard gives you real-time tracking of everything that happens in the car. This same logic applies to businesses.<\/p><p>To summarize: in the first block of our Analytical Route Map, we try to provide answers about what is happening in real-time, automatically, periodically, and in a standard way, using Business Intelligence.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-ecb5a42 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"ecb5a42\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-baf1fa2 ot-flex-column-vertical\" data-id=\"baf1fa2\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-440bcff elementor-widget elementor-widget-heading\" data-id=\"440bcff\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Business Analytics\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-53205e2 elementor-widget elementor-widget-text-editor\" data-id=\"53205e2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>When we advance along the Route Map, we move from Business Intelligence to Business Analytics. This is where the concepts of Data Science and Data Mining come in. At this stage, we are no longer just answering what is happening\u2014we can also answer what could happen. In other words, we move from descriptive to prescriptive analytics. In this second stage, we apply other techniques to model historical events and predict what could happen.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2062572 elementor-widget elementor-widget-video\" data-id=\"2062572\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/MdMH5aX2Z0k&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-df2d8c2 elementor-blockquote--skin-border elementor-blockquote--button-color-official elementor-widget elementor-widget-blockquote\" data-id=\"df2d8c2\" data-element_type=\"widget\" data-widget_type=\"blockquote.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor-pro - v3.17.0 - 01-11-2023 *\/\n@charset \"UTF-8\";.entry-content blockquote.elementor-blockquote:not(.alignright):not(.alignleft),.entry-summary blockquote.elementor-blockquote{margin-right:0;margin-left:0}.elementor-widget-blockquote blockquote{margin:0;padding:0;outline:0;font-size:100%;vertical-align:baseline;background:transparent;quotes:none;border:0;font-style:normal;color:#3f444b}.elementor-widget-blockquote blockquote .e-q-footer:after,.elementor-widget-blockquote blockquote .e-q-footer:before,.elementor-widget-blockquote blockquote:after,.elementor-widget-blockquote blockquote:before,.elementor-widget-blockquote blockquote cite:after,.elementor-widget-blockquote blockquote cite:before{content:none}.elementor-blockquote{transition:.3s}.elementor-blockquote__author,.elementor-blockquote__content{margin-bottom:0;font-style:normal}.elementor-blockquote__author{font-weight:700}.elementor-blockquote .e-q-footer{margin-top:12px;display:flex;justify-content:space-between}.elementor-blockquote__tweet-button{display:flex;transition:.3s;color:#1da1f2;align-self:flex-end;line-height:1;position:relative;width:-moz-max-content;width:max-content}.elementor-blockquote__tweet-button:hover{color:#0967a0}.elementor-blockquote__tweet-button span{font-weight:600}.elementor-blockquote__tweet-button i,.elementor-blockquote__tweet-button span{vertical-align:middle}.elementor-blockquote__tweet-button i+span,.elementor-blockquote__tweet-button svg+span{margin-left:.5em}.elementor-blockquote__tweet-button svg{fill:#1da1f2;height:1em;width:1em}.elementor-blockquote__tweet-label{white-space:pre-wrap}.elementor-blockquote--button-skin-bubble .elementor-blockquote__tweet-button,.elementor-blockquote--button-skin-classic .elementor-blockquote__tweet-button{padding:.7em 1.2em;border-radius:100em;background-color:#1da1f2;color:#fff;font-size:15px}.elementor-blockquote--button-skin-bubble .elementor-blockquote__tweet-button:hover,.elementor-blockquote--button-skin-classic .elementor-blockquote__tweet-button:hover{background-color:#0967a0;color:#fff}.elementor-blockquote--button-skin-bubble .elementor-blockquote__tweet-button:hover:before,.elementor-blockquote--button-skin-classic .elementor-blockquote__tweet-button:hover:before{border-right-color:#0967a0}.elementor-blockquote--button-skin-bubble .elementor-blockquote__tweet-button svg,.elementor-blockquote--button-skin-classic .elementor-blockquote__tweet-button svg{fill:#fff;height:1em;width:1em}.elementor-blockquote--button-skin-bubble.elementor-blockquote--button-view-icon .elementor-blockquote__tweet-button,.elementor-blockquote--button-skin-classic.elementor-blockquote--button-view-icon .elementor-blockquote__tweet-button{padding:0;width:2em;height:2em}.elementor-blockquote--button-skin-bubble.elementor-blockquote--button-view-icon .elementor-blockquote__tweet-button i,.elementor-blockquote--button-skin-classic.elementor-blockquote--button-view-icon .elementor-blockquote__tweet-button i{position:absolute;left:50%;top:50%;transform:translate(-50%,-50%)}.elementor-blockquote--button-skin-bubble .elementor-blockquote__tweet-button:before{content:\"\";border:.5em solid transparent;border-right-color:#1da1f2;position:absolute;left:-.8em;top:50%;transform:translateY(-50%) scaleY(.65);transition:.3s}.elementor-blockquote--button-skin-bubble.elementor-blockquote--align-left .elementor-blockquote__tweet-button:before{right:auto;left:-.8em;border-right-color:#1da1f2;border-left-color:transparent}.elementor-blockquote--button-skin-bubble.elementor-blockquote--align-left .elementor-blockquote__tweet-button:hover:before{border-right-color:#0967a0}.elementor-blockquote--button-skin-bubble.elementor-blockquote--align-right .elementor-blockquote__tweet-button:before{left:auto;right:-.8em;border-right-color:transparent;border-left-color:#1da1f2}.elementor-blockquote--button-skin-bubble.elementor-blockquote--align-right .elementor-blockquote__tweet-button:hover:before{border-left-color:#0967a0}.elementor-blockquote--skin-boxed .elementor-blockquote{background-color:#f9fafa;padding:30px}.elementor-blockquote--skin-border .elementor-blockquote{border-color:#f9fafa;border-left:7px #f9fafa;border-style:solid;padding-left:20px}.elementor-blockquote--skin-quotation .elementor-blockquote:before{content:\"\u201c\";font-size:100px;color:#f9fafa;font-family:Times New Roman,Times,serif;font-weight:900;line-height:1;display:block;height:.6em}.elementor-blockquote--skin-quotation .elementor-blockquote__content{margin-top:15px}.elementor-blockquote--align-left .elementor-blockquote__content{text-align:left}.elementor-blockquote--align-left .elementor-blockquote .e-q-footer{flex-direction:row}.elementor-blockquote--align-right .elementor-blockquote__content{text-align:right}.elementor-blockquote--align-right .elementor-blockquote .e-q-footer{flex-direction:row-reverse}.elementor-blockquote--align-center .elementor-blockquote{text-align:center}.elementor-blockquote--align-center .elementor-blockquote .e-q-footer,.elementor-blockquote--align-center .elementor-blockquote__author{display:block}.elementor-blockquote--align-center .elementor-blockquote__tweet-button{margin-right:auto;margin-left:auto}<\/style>\t\t<blockquote class=\"elementor-blockquote\">\n\t\t\t<p class=\"elementor-blockquote__content\">\n\t\t\t\tJust as the dashboard was a key milestone in BI, models were a major milestone in BA. Having a model deployed in production is crucial.\t\t\t<\/p>\n\t\t\t\t\t<\/blockquote>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0103063 elementor-widget elementor-widget-heading\" data-id=\"0103063\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">What are these models?\n\n<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0100892 elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"0100892\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<link rel=\"stylesheet\" href=\"https:\/\/dataknow.io\/wp-content\/plugins\/elementor\/assets\/css\/widget-icon-list.min.css\">\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-circle-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Profiling models<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-circle-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Customer segmentation models<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-circle-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Recommendation models<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<i aria-hidden=\"true\" class=\"fas fa-chevron-circle-right\"><\/i>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Forecasting models<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b517f25 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"b517f25\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-ad1071f ot-flex-column-vertical\" data-id=\"ad1071f\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-7177df6 elementor-widget elementor-widget-text-editor\" data-id=\"7177df6\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>A segmentation model is one used by a company to divide customers into categories that make sense, using precise information, not inference. Recommendation models are used for things like Instagram ads showing you products you like, which gets better as you interact with them more.<\/p><p>Here, we begin to improve data treatment techniques by using statistical processes, Big Data, and Machine Learning algorithms. It\u2019s important to understand that the goal of all these stages, techniques, and processes is to recognize patterns in the data and react to them. It\u2019s not about machine learning techniques being a mere improvement of classic models. The goal is always to find the right models and techniques that truly create value.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e9f9992 elementor-widget elementor-widget-video\" data-id=\"e9f9992\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/xWF_stIF9cU&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-wrapper elementor-open-inline\">\n\t\t\t<div class=\"elementor-video\"><\/div>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a27fe4a elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a27fe4a\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-146ee26 ot-flex-column-vertical\" data-id=\"146ee26\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c46ce4e elementor-widget elementor-widget-heading\" data-id=\"c46ce4e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h2 class=\"elementor-heading-title elementor-size-default\">Big data\n<\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-960fba8 elementor-widget elementor-widget-text-editor\" data-id=\"960fba8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Big Data was an evolutionary process in computational power and data storage capabilities. Big Data introduces a new paradigm in traditional modeling processes. With Big Data, you no longer face a lack of information, and you don\u2019t need hypothesis-based or simulated data techniques. Now you have plenty of information. For example, when doing customer segmentation, using Big Data means you\u2019re not inferring that Group A and B\u2019s consumption equals an inaccurate average. Instead, you\u2019ll know exactly how much each group consumes in a much more granular and complex segmentation\u2014or as simple or complex as needed.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c283c8a elementor-widget elementor-widget-image\" data-id=\"c283c8a\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"1000\" height=\"561\" src=\"https:\/\/dataknow.io\/wp-content\/uploads\/2021\/09\/12-Big-Data.webp\" class=\"attachment-full size-full wp-image-11975\" alt=\"Big Data Analysis\" srcset=\"https:\/\/dataknow.io\/wp-content\/uploads\/2021\/09\/12-Big-Data.webp 1000w, https:\/\/dataknow.io\/wp-content\/uploads\/2021\/09\/12-Big-Data-300x168.webp 300w, https:\/\/dataknow.io\/wp-content\/uploads\/2021\/09\/12-Big-Data-768x431.webp 768w\" sizes=\"(max-width: 1000px) 100vw, 1000px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4560ef0 elementor-widget elementor-widget-text-editor\" data-id=\"4560ef0\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The retail sector understands perfectly the importance of Big Data. They know they must focus their vision, management, and company on the customer. They understand the customer from their profile, create models, understand their maturation process, their Lifetime Value, as well as their consumption patterns. The retail sector stands out in using analytics because it centers its processes on the customer and then applies modeling techniques from there.<\/p><p>When it comes to Business Intelligence and Business Analytics, it\u2019s important to emphasize that it\u2019s not about choosing just one. Each process becomes more relevant as the company advances along the Analytical Route Map, as they tackle different issues and create value at different points. With BI, you get clear, actionable answers in the early stages of your Route Map. Then, in the second stage, we have BA with more complex techniques and concepts such as Data Science, statistical processes, Big Data, and Machine Learning, which provide answers to what could happen. Finally, we reach the third stage, where we look at what needs to be changed to make what we want happen, to meet objectives, and reach analytical maturity.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>By Andr\u00e9s Florez Llano The Path to Analytical Maturity Let\u2019s talk a little about Business Intelligence, Business Analytics, and Big Data, and their value on the journey toward achieving analytical maturity. For this, we must introduce the concept of the Analytical Route Map. The Analytical Route Map is the path (redundantly speaking) that leads us [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":11976,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[547,92],"tags":[542,442,541,544,470,545,543,532,504,494,530,477],"class_list":["post-16234","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-big-data-3","category-consultings","tag-analytical-maturity","tag-big-data-2","tag-business-analytics","tag-business-dashboards","tag-business-intelligence","tag-customer-segmentation","tag-data-governance","tag-data-mining-2","tag-data-science","tag-forecasting-models","tag-machine-learning-2","tag-predictive-analytics-2"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Business Intelligence and Data Science - DataKnow<\/title>\n<meta name=\"description\" content=\"Business Intelligence, Business Analytics, and Big Data, and their value on the journey toward achieving analytical maturity.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dataknow.io\/en\/business-intelligence-and-data-science-synonyms-friends-or-enemies\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Business Intelligence and Data Science - 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