{"version":"1.0","provider_name":"Le Blog GERESO","provider_url":"https:\/\/www.gereso.com\/actualites","author_name":"Audrey Roy","author_url":"https:\/\/www.gereso.com\/actualites\/author\/a-roy\/","title":"Data : quand les chiffres trompent les RH - Le Blog GERESO","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"MG8pb3r7e3\"><a href=\"https:\/\/www.gereso.com\/actualites\/2026\/09\/24\/data-chiffres-trompent-rh\/\">Data : quand les chiffres trompent les RH<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.gereso.com\/actualites\/2026\/09\/24\/data-chiffres-trompent-rh\/embed\/#?secret=MG8pb3r7e3\" width=\"600\" height=\"338\" title=\"\u00ab\u00a0Data : quand les chiffres trompent les RH\u00a0\u00bb &#8212; Le Blog GERESO\" data-secret=\"MG8pb3r7e3\" 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:\/\/www.gereso.com\/actualites\/wp-includes\/js\/wp-embed.min.js\n<\/script>\n","thumbnail_url":"https:\/\/www.gereso.com\/actualites\/wp-content\/uploads\/2026\/09\/data-rh.jpg","thumbnail_width":600,"thumbnail_height":400,"description":"Concr\u00e8tement, le probl\u00e8me n\u2019est pas tant la data, mais la confusion entre ce qui est mesurable et ce qui est r\u00e9ellement pertinent. Autrement dit, lorsque l\u2019on transforme un indicateur en v\u00e9rit\u00e9 universelle. En effet, une donn\u00e9e RH peut \u00eatre parfaitement exacte et pourtant conduire \u00e0 une interpr\u00e9tation fausse. Prenons l\u2019exemple du turnover. Une entreprise constate [&hellip;]"}