{"version":"1.0","provider_name":"Datama","provider_url":"https:\/\/datama.io\/fr\/","author_name":"Guillaume","author_url":"https:\/\/datama.io\/fr\/author\/gudeb\/","title":"DataMa Compare for consulting usage - Datama","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"gOXpfve3Td\"><a href=\"https:\/\/datama.io\/fr\/datama-compare-for-consulting-usage-2\/\">DataMa Compare for consulting usage<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/datama.io\/fr\/datama-compare-for-consulting-usage-2\/embed\/#?secret=gOXpfve3Td\" width=\"600\" height=\"338\" title=\"\u00ab\u00a0DataMa Compare for consulting usage\u00a0\u00bb &#8212; Datama\" data-secret=\"gOXpfve3Td\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/datama.io\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/datama.io\/wp-content\/uploads\/2018\/02\/datama-compare-introduction-1-638.jpg","thumbnail_width":638,"thumbnail_height":359,"description":"DataMa Compare vous facilite la vie pour expliquer les variations de vos indicateurs de performance entre deux segments. Ce calcul est un classique du conseil et de l\u2019analyse de donn\u00e9es en g\u00e9n\u00e9ral. D\u00e9couvrez dans ce document des exemples d\u2019utilisation de DataMa Compare, pourquoi vous devriez nous confier vos analyses sensibles pour une r\u00e9aliser de bonnes [&hellip;]"}