{"id":4353,"date":"2021-08-13T05:00:31","date_gmt":"2021-08-13T04:00:31","guid":{"rendered":"https:\/\/bestdatasolutions.es\/?p=4353"},"modified":"2021-08-19T18:05:17","modified_gmt":"2021-08-19T17:05:17","slug":"microstrategy-training-metrics","status":"publish","type":"post","link":"https:\/\/bestdatasolutions.es\/en\/blog\/microstrategy-training-metrics\/","title":{"rendered":"MicroStrategy Training Metrics"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"4353\" class=\"elementor elementor-4353 elementor-4352\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-187471cb elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"187471cb\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8a0c01d\" data-id=\"8a0c01d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1fbff00b elementor-widget elementor-widget-theme-post-featured-image elementor-widget-image\" data-id=\"1fbff00b\" data-element_type=\"widget\" data-widget_type=\"theme-post-featured-image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1920\" height=\"500\" src=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/MicroStrategy-Training-Metrics.jpg\" class=\"attachment-full size-full wp-image-4406\" alt=\"\" srcset=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/MicroStrategy-Training-Metrics.jpg 1920w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/MicroStrategy-Training-Metrics-300x78.jpg 300w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/MicroStrategy-Training-Metrics-1024x267.jpg 1024w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/MicroStrategy-Training-Metrics-768x200.jpg 768w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/MicroStrategy-Training-Metrics-1536x400.jpg 1536w\" sizes=\"(max-width: 1920px) 100vw, 1920px\" title=\"\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\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-5d1c2c13 elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"5d1c2c13\" 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-50 elementor-top-column elementor-element elementor-element-5aae2e0d\" data-id=\"5aae2e0d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1a3ffa42 elementor-author-box--layout-image-left elementor-author-box--align-left elementor-author-box--image-valign-middle elementor-author-box--avatar-yes elementor-author-box--name-yes elementor-author-box--biography-yes elementor-widget elementor-widget-author-box\" data-id=\"1a3ffa42\" data-element_type=\"widget\" data-widget_type=\"author-box.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-author-box\">\n\t\t\t\t\t\t\t<a href=\"https:\/\/es.linkedin.com\/in\/joacoatt\" target=\"_blank\" class=\"elementor-author-box__avatar\" rel=\"noopener\">\n\t\t\t\t\t<img decoding=\"async\" src=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/joaquin-attanasio-1.jpg\" alt=\"Picture of Joaquin Attanasio\" loading=\"lazy\" title=\"\">\n\t\t\t\t<\/a>\n\t\t\t\n\t\t\t<div class=\"elementor-author-box__text\">\n\t\t\t\t\t\t\t\t\t<a href=\"https:\/\/es.linkedin.com\/in\/joacoatt\" target=\"_blank\" rel=\"noopener\">\n\t\t\t\t\t\t<h4 class=\"elementor-author-box__name\">\n\t\t\t\t\t\t\tJoaquin Attanasio\t\t\t\t\t\t<\/h4>\n\t\t\t\t\t<\/a>\n\t\t\t\t\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-author-box__bio\">\n\t\t\t\t\t\tBusiness Intelligence Consultant | Microstrategy Expert | Data Specialist\t\t\t\t\t<\/div>\n\t\t\t\t\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-41a959e0 elementor-widget elementor-widget-heading\" data-id=\"41a959e0\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h3 class=\"elementor-heading-title elementor-size-large\">Other Articles:<\/h3>\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-top-column elementor-element elementor-element-6c75b22c\" data-id=\"6c75b22c\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-5795bde9 elementor-widget elementor-widget-theme-post-title elementor-page-title elementor-widget-heading\" data-id=\"5795bde9\" data-element_type=\"widget\" data-widget_type=\"theme-post-title.default\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-xl\">MicroStrategy Training Metrics<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-561b31d1 elementor-widget elementor-widget-post-info\" data-id=\"561b31d1\" data-element_type=\"widget\" data-widget_type=\"post-info.default\">\n\t\t\t\t\t\t\t<ul class=\"elementor-inline-items elementor-icon-list-items elementor-post-info\">\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item elementor-repeater-item-869d2fb elementor-inline-item\" itemprop=\"datePublished\">\n\t\t\t\t\t\t<a href=\"https:\/\/bestdatasolutions.es\/en\/2021\/08\/13\/\">\n\t\t\t\t\t\t\t\t\t\t\t<span 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359.2l-4.4-7c-18.5-29.4-28.2-63.3-28.2-98.2 0-101.7 82.8-184.5 184.6-184.5 49.3 0 95.6 19.2 130.4 54.1 34.8 34.9 56.2 81.2 56.1 130.5 0 101.8-84.9 184.6-186.6 184.6zm101.2-138.2c-5.5-2.8-32.8-16.2-37.9-18-5.1-1.9-8.8-2.8-12.5 2.8-3.7 5.6-14.3 18-17.6 21.8-3.2 3.7-6.5 4.2-12 1.4-32.6-16.3-54-29.1-75.5-66-5.7-9.8 5.7-9.1 16.3-30.3 1.8-3.7.9-6.9-.5-9.7-1.4-2.8-12.5-30.1-17.1-41.2-4.5-10.8-9.1-9.3-12.5-9.5-3.2-.2-6.9-.2-10.6-.2-3.7 0-9.7 1.4-14.8 6.9-5.1 5.6-19.4 19-19.4 46.3 0 27.3 19.9 53.7 22.6 57.4 2.8 3.7 39.1 59.7 94.8 83.8 35.2 15.2 49 16.5 66.6 13.9 10.7-1.6 32.8-13.4 37.4-26.4 4.6-13 4.6-24.1 3.2-26.4-1.3-2.5-5-3.9-10.5-6.6z\"><\/path><\/svg>\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<div class=\"elementor-share-btn__text\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-share-btn__title\">\n\t\t\t\t\t\t\t\t\t\tWhatsApp\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-56263e9 elementor-widget elementor-widget-text-editor\" data-id=\"56263e9\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Good morning! Here we are again in our curious corner of BestInMicro!<\/p>\n<p>A place to share stories, experiences, learnings, secrets, and techniques from the day-to-day life of a MicroStrategy consultant. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5cce712 elementor-widget elementor-widget-image\" data-id=\"5cce712\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"800\" height=\"479\" src=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/1.jpg\" class=\"attachment-large size-large wp-image-4394\" alt=\"Training Metrics\" srcset=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/1.jpg 800w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/1-300x180.jpg 300w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/1-768x460.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" title=\"\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-27f502d elementor-widget elementor-widget-text-editor\" data-id=\"27f502d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>This week I bring a topic that has been in MicroStrategy for many years, but few people know about it and companies spend thousands of dollars to implement it in an outsourced way. Sometimes it may be justified, as this is an <i>out-of-the-box<\/i> solution, but believe me, if it were better known, it would be used a lot.&nbsp; And yes, you are looking at it right, we are talking about <i>machine learning<\/i> techniques integrated with MicroStrategy! So, without further delay, the topic of the week: <i>Training Metrics.<\/i><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6a013f5 elementor-widget elementor-widget-text-editor\" data-id=\"6a013f5\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>After the introduction, I will highlight something. These models correspond more to the concept of data mining than to that of machine learning, but one thing does not take away from the other. What I will try to explain in this article is a quick introduction to the different predictive models and how to use them with MicroStrategy, without the need to have a data scientist or someone who knows R or Python to predict behaviors.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7344bb8 elementor-widget elementor-widget-video\" data-id=\"7344bb8\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/Ob0gkQZ_bsE&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\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\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-42a574e elementor-widget elementor-widget-heading\" data-id=\"42a574e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">What are these models for?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f3ef15c elementor-widget elementor-widget-text-editor\" data-id=\"f3ef15c\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>For people who are used to classic BI, what we usually see and analyze is the past, the results obtained to understand what happened, and to be able to make better decisions. This is called <b>descriptive analytics.<\/b>  <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ca146d7 elementor-widget elementor-widget-text-editor\" data-id=\"ca146d7\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Today, what we will do is implement models that allow me to predict, as accurately as possible, what the results will be using statistical techniques. This type of analysis is what we call <b>Predictive Analytics.<\/b> Below are the types of questions answered by each of these analyses:<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1128c16 elementor-widget elementor-widget-image\" data-id=\"1128c16\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img decoding=\"async\" width=\"518\" height=\"344\" src=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/2.jpg\" class=\"attachment-large size-large wp-image-4391\" alt=\"Training Metrics Descriptive Analytics vs Predictive Analytics\" srcset=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/2.jpg 518w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/2-300x199.jpg 300w\" sizes=\"(max-width: 518px) 100vw, 518px\" title=\"\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2049fa6 elementor-widget elementor-widget-image\" data-id=\"2049fa6\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"268\" src=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/3.jpg\" class=\"attachment-large size-large wp-image-4388\" alt=\"Training Metrics BI vs Data Mining\" srcset=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/3.jpg 800w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/3-300x101.jpg 300w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/3-768x257.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" title=\"\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0d70a58 elementor-widget elementor-widget-heading\" data-id=\"0d70a58\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">Model types<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a78ccb8 elementor-widget elementor-widget-text-editor\" data-id=\"a78ccb8\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Now that we have positioned ourselves a little on the purpose of these models, I will briefly tell you what types of models there are. The point of all this is that we can create indicators to help us predict future results, but not all models behave in the same way.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-98d0c88 elementor-widget elementor-widget-image\" data-id=\"98d0c88\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"306\" src=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/4.jpg\" class=\"attachment-large size-large wp-image-4385\" alt=\"Training Metrics Models\" srcset=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/4.jpg 800w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/4-300x115.jpg 300w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/4-768x294.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" title=\"\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d6bfb8b elementor-widget elementor-widget-heading\" data-id=\"d6bfb8b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">- Forecasting<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fbb2efb elementor-widget elementor-widget-image\" data-id=\"fbb2efb\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"379\" height=\"307\" src=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/5.jpg\" class=\"attachment-large size-large wp-image-4382\" alt=\"Training Metrics Forecasting\" srcset=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/5.jpg 379w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/5-300x243.jpg 300w\" sizes=\"(max-width: 379px) 100vw, 379px\" title=\"\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1f0be28 elementor-widget elementor-widget-text-editor\" data-id=\"1f0be28\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Forecasting is a type of analysis used to predict or estimate the future value of variables such as sales, profits and stock control, etc., always based on past data. Regression analysis and time-series analyses are the most common to see and the simplest examples.<\/p>\n<p>In this type of analysis, there is an independent variable (generally, time), and another dependent variable (on the Y-axis). <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8b9ca95 elementor-widget elementor-widget-text-editor\" data-id=\"8b9ca95\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Basically, an attempt is made to generate a relationship between all the factors that affect the relationship between the two variables, and an equation is created which, when a value of the independent variable is applied to it, returns the estimated value of the dependent variable as accurately as possible. The more information we have, and the fewer factors that influence our scenario, the more accurate the analysis will be.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-907b3e8 elementor-widget elementor-widget-image\" data-id=\"907b3e8\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"371\" height=\"354\" src=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/6.jpg\" class=\"attachment-large size-large wp-image-4379\" alt=\"Training Metrics Forecasting Formulas\" srcset=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/6.jpg 371w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/6-300x286.jpg 300w\" sizes=\"(max-width: 371px) 100vw, 371px\" title=\"\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b3a2076 elementor-widget elementor-widget-text-editor\" data-id=\"b3a2076\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>There are different types of formulas, such as linear regression (f(x) = mx +b), exponential regression (f(x) = mx+b), logarithmic regression (f(x) = ln x)&#8230;..&nbsp;<a href=\"https:\/\/en.wikipedia.org\/wiki\/Function_(mathematics)\" target=\"_blank\" rel=\"noopener\">here are more details about it<\/a>, but depending on each situation and the factors affecting the scenario being analyzed, each formula will be better adapted, minimizing the margin of error.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bc7049d elementor-widget elementor-widget-heading\" data-id=\"bc7049d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">- Classification<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e7efde4 elementor-widget elementor-widget-text-editor\" data-id=\"e7efde4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>According to the official definition: Classification is a technique used to assign objects to different groups and predict how to classify new data points by identifying underlying data characteristics. I finished writing it and it sounds like basic Chinese, but with an example, it is easy to understand: Based on different rules, I can assign an object to different groups. It is like an Akinator, but giant&#8230; using the <i>If then else<\/i> conditions we group new objects, which allows us to make decisions regarding their resolution. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8568557 elementor-widget elementor-widget-text-editor\" data-id=\"8568557\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>-Is it alive? -Yes <\/p>\n<p>Is it green? -No <\/p>\n<p>-Does Wow? -Yes!<\/p>\n<p>-It is a surprised person!<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-fe0c4b1 elementor-widget elementor-widget-image\" data-id=\"fe0c4b1\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"662\" height=\"357\" src=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/7.jpg\" class=\"attachment-large size-large wp-image-4376\" alt=\"Training Metrics Classification\" srcset=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/7.jpg 662w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/7-300x162.jpg 300w\" sizes=\"(max-width: 662px) 100vw, 662px\" title=\"\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d91bfd2 elementor-widget elementor-widget-text-editor\" data-id=\"d91bfd2\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Besides being a lousy joke (sorry, I couldn&#8217;t help it), it gives us the guideline that we have to generate good rules to know how to classify and predict correctly&#8230; We will see it in the next part of the article.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5c29466 elementor-widget elementor-widget-heading\" data-id=\"5c29466\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">- Clustering<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-aec861f elementor-widget elementor-widget-text-editor\" data-id=\"aec861f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>These technique groups elements so that members of a group are more similar to each other than to members of other groups. The degree of association between two elements is maximum if they belong to the same group and minimum otherwise. Once groups have been created, new items can usually be grouped into one of the existing groups. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-4099ab4 elementor-widget elementor-widget-image\" data-id=\"4099ab4\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"543\" height=\"312\" src=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/8.jpg\" class=\"attachment-large size-large wp-image-4373\" alt=\"Training Metrics Clustering\" srcset=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/8.jpg 543w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/8-300x172.jpg 300w\" sizes=\"(max-width: 543px) 100vw, 543px\" title=\"\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f0194da elementor-widget elementor-widget-text-editor\" data-id=\"f0194da\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>This type of analysis is very typical, for example, in marketing campaigns. If there are many people of a certain age range, gender, and region, they will look to sell a specific product, whereas, if the age range changes, they will look for another product that is more attractive to this new group or cluster. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f1f4b08 elementor-widget elementor-widget-heading\" data-id=\"f1f4b08\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">- Association rules<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5662ed3 elementor-widget elementor-widget-text-editor\" data-id=\"5662ed3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Association rules detect patterns, correlations, or relationships between different elements or sets of elements. They help to identify elements that usually appear together and have a high degree of concurrence with each other. <\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-919365d elementor-widget elementor-widget-image\" data-id=\"919365d\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"580\" height=\"298\" src=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/9.jpg\" class=\"attachment-large size-large wp-image-4370\" alt=\"Training Metrics Association Rules\" srcset=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/9.jpg 580w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/9-300x154.jpg 300w\" sizes=\"(max-width: 580px) 100vw, 580px\" title=\"\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9542e78 elementor-widget elementor-widget-text-editor\" data-id=\"9542e78\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>For example, if a person buys a cell phone and a protective case, likely, he will also want to buy a tempered glass&#8230; or if he buys coal and chimichurri in a supermarket, he will also want a good piece of meat and wine for his barbecue&#8230;<\/p>\n<p>Basically, it is to identify patterns and behaviors that are constantly repeated so that, when detected again, it can be predicted how it will end.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-15e2cc3 elementor-widget elementor-widget-image\" data-id=\"15e2cc3\" data-element_type=\"widget\" data-widget_type=\"image.default\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"800\" height=\"418\" src=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/10.jpg\" class=\"attachment-large size-large wp-image-4367\" alt=\"Traing Metrics Important Notice\" srcset=\"https:\/\/bestdatasolutions.es\/wp-content\/uploads\/10.jpg 800w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/10-300x157.jpg 300w, https:\/\/bestdatasolutions.es\/wp-content\/uploads\/10-768x401.jpg 768w\" sizes=\"(max-width: 800px) 100vw, 800px\" title=\"\">\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e386f9f elementor-widget elementor-widget-heading\" data-id=\"e386f9f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">Conclusions<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-bb5e590 elementor-widget elementor-widget-text-editor\" data-id=\"bb5e590\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><b>Data Miningdoes not indicate the value<\/b> <b>of patterns:<\/b> You need to have a good understanding of the data and the business context to interpret the value of the trends and patterns discovered.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8b692f4 elementor-widget elementor-widget-text-editor\" data-id=\"8b692f4\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>While it is not required to understand all the intricacies of statistical<b> and<\/b> <b>mathematical techniques related to data mining<\/b>, <b>it is of extreme importance<\/b> to understand the tools and techniques of <b>data<\/b> mining and their functionality, because if they are not applied correctly it can lead to very wrong results.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-766512f elementor-widget elementor-widget-text-editor\" data-id=\"766512f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><b>It is of utmost importance to have a verification phase.<\/b> Data mining identifies patterns and trends based on sample data. These patterns and trends should be checked against a real-world data set to ensure that the results are reliable.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-451f217 elementor-widget elementor-widget-text-editor\" data-id=\"451f217\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><b style=\"font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: 1rem;\">The quality of the data affects the outcome:<\/b><span style=\"font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: 1rem;\"> data mining is directly affected by the quality of the data. The data must be clean and consistent across all data sources.<\/span><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0de3c69 elementor-widget elementor-widget-text-editor\" data-id=\"0de3c69\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p><b>Data mining may not identify cause and effect relationships<\/b>: While it may make it easier to identify certain predictive patterns, those patterns may not identify a cause and effect relationship.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1e17670 elementor-widget elementor-widget-video\" data-id=\"1e17670\" data-element_type=\"widget\" data-settings=\"{&quot;youtube_url&quot;:&quot;https:\\\/\\\/youtu.be\\\/p9ZzrAuBw2c&quot;,&quot;video_type&quot;:&quot;youtube&quot;,&quot;controls&quot;:&quot;yes&quot;}\" data-widget_type=\"video.default\">\n\t\t\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\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-f9a682e elementor-widget elementor-widget-heading\" data-id=\"f9a682e\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">Conclusions<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b5b9afe elementor-widget elementor-widget-text-editor\" data-id=\"b5b9afe\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>These are tools that MicroStrategy has had for many years, but as the world advances and with the massification of new technologies, computational capacity, and statistical models, it has been migrating towards new models made with Python, for example, a new tool that MicroStrategy is adapting to with new versions and functionalities.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0612e7e elementor-widget elementor-widget-text-editor\" data-id=\"0612e7e\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>Anyway, I think it is still a super exploitable functionality and does not require a data scientist to take advantage of it.<\/p>\n<p>Anyway, we will soon do some practice with these models, and let me know if you want me to focus on any particular model for the example, or even if you have and want to share a dataset that you want us to analyze together.<\/p>\n<p>See you next week!<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-ed803bf elementor-widget elementor-widget-heading\" data-id=\"ed803bf\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t\t<h2 class=\"elementor-heading-title elementor-size-large\">Sources<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-45d0eb9d elementor-widget elementor-widget-text-editor\" data-id=\"45d0eb9d\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t\t\t\t\t\t<p>11.711-Data Mining and Predictive Analytics Manual<\/p>\n<p>James Oliver V\u00eddeo &#8211; <a style=\"background-color: #ffffff; font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: 1rem; font-weight: var( --e-global-typography-text-font-weight );\" href=\"https:\/\/www.youtube.com\/watch?v=-OtJLQy662A\" target=\"_blank\" rel=\"noopener\">MicroStrategy Training Metrics Tutorial &#8211; YouTube<\/a><\/p>\n<p><span style=\"font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: 1rem; font-weight: var( --e-global-typography-text-font-weight );\">Online Training Video by MicroRooster &#8211; <\/span><a style=\"background-color: #ffffff; font-family: var( --e-global-typography-text-font-family ), Sans-serif; font-size: 1rem; font-weight: var( --e-global-typography-text-font-weight );\" href=\"https:\/\/www.youtube.com\/watch?v=UbVQbVlByZk\" target=\"_blank\" rel=\"noopener\">MicroStrategy &#8211; Data Mining &amp; Predictive Analytics &#8211; Online Training Video by MicroRooster &#8211; YouTube<\/a><\/p>\n<p><a href=\"https:\/\/en.wikipedia.org\/wiki\/Function_(mathematics)\" target=\"_blank\" rel=\"noopener\">Function (mathematics) &#8211; Wikipedia<\/a><\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-614b2ec9 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"614b2ec9\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c77df54 elementor-align-center elementor-widget elementor-widget-button\" data-id=\"c77df54\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm\" href=\"https:\/\/bestdatasolutions.es\/en\/blog\/\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t\t\t\t<span class=\"elementor-button-text\">&lt;&lt; BACK TO BLOG<\/span>\n\t\t\t\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>This week I bring a topic that has been in MicroStrategy for many years, but few people know about it and companies spend thousands of dollars to implement it in an outsourced way. Sometimes it may be justified, as this is an out-of-the-box solution, but believe me, if it were better known, it would be used a lot. And yes, we are talking about machine learning techniques integrated with MicroStrategy! So, without further delay, the topic of the week: Training Metrics.<\/p>\n","protected":false},"author":2,"featured_media":4406,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[49],"tags":[71],"class_list":["post-4353","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-blog","tag-microstrategy"],"_links":{"self":[{"href":"https:\/\/bestdatasolutions.es\/en\/wp-json\/wp\/v2\/posts\/4353","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bestdatasolutions.es\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bestdatasolutions.es\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bestdatasolutions.es\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/bestdatasolutions.es\/en\/wp-json\/wp\/v2\/comments?post=4353"}],"version-history":[{"count":0,"href":"https:\/\/bestdatasolutions.es\/en\/wp-json\/wp\/v2\/posts\/4353\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bestdatasolutions.es\/en\/wp-json\/wp\/v2\/media\/4406"}],"wp:attachment":[{"href":"https:\/\/bestdatasolutions.es\/en\/wp-json\/wp\/v2\/media?parent=4353"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bestdatasolutions.es\/en\/wp-json\/wp\/v2\/categories?post=4353"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bestdatasolutions.es\/en\/wp-json\/wp\/v2\/tags?post=4353"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}