{"id":51752,"date":"2026-03-24T09:00:22","date_gmt":"2026-03-24T08:00:22","guid":{"rendered":"https:\/\/www.sqorus.com\/?p=51752"},"modified":"2026-07-13T10:28:31","modified_gmt":"2026-07-13T08:28:31","slug":"data-storytelling-turning-data-decisions","status":"publish","type":"post","link":"https:\/\/www.sqorus.com\/en\/data-storytelling-turning-data-decisions\/","title":{"rendered":"Data Storytelling: turning data into decisions"},"content":{"rendered":"

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Dashboards saturated, indicators piling up, endless Excel exports… Your HR teams are swamped with data, but struggle to draw any concrete conclusions from it.<\/p>\n

The evidence is clear: raw data doesn’t speak for itself.<\/p>\n

Without contextualization, it becomes a hindrance: managers look away, HRIS managers give up using these figures in COMEX, and HRIS managers exhaust themselves producing unused analyses.<\/p>\n

And yet, this same data holds considerable strategic potential: to anticipate departures, identify talent, optimize payroll, manage commitment… Provided you know how to tell their story.<\/p>\n

This is where data storytelling<\/strong> comes in. By combining Data Science<\/strong> and the art of storytelling, it finally enables us to move from information to decision, from figures to action. <\/p>\n

So how do you get your data to talk? How can data storytelling become a lever for transforming your HR function<\/strong>? Here’s how. <\/p>\n

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HR Analytics: why is your HR data still untapped?<\/h2>\n

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The HR data paradox: abundance without exploitation<\/strong><\/h3>\n

Companies have a wealth of HR data<\/strong><\/a> data: recruitment, performance, mobility, skills, absenteeism, turnover, diversity, employee career paths<\/strong>…<\/p>\n

Yet this information often goes untapped.<\/p>\n

Dashboards are often incomprehensible, managers lack the time to analyze them, and in the end, they can’t make decisions based on data. The problem is not the lack of information, but the way it is used and interpreted. <\/p>\n

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According to a Top Employers<\/strong> study conducted among more than 2,400 organizations, 83% of companies report relying on data to inform their decisions, but in reality, qualitative analysis remains a challenge for many HR teams due to a lack of skills, time, or accessible solutions. (Top Employers, 2025)<\/strong><\/em><\/a><\/p>\n

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HR Analytics: transforming raw data into strategic decisions<\/h2>\n

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HR Analytics<\/strong> has emerged as a response to this problem.<\/p>\n

It consists of using employee data in a structured way: r<\/strong>ecruitment, performance, mobility, skills, absenteeism, turnover, diversity, employee career paths<\/strong> <\/em>to produce usable analyses for HR teams and managers.<\/p>\n

The challenge is to link these dimensions to reveal global trends.<\/p>\n

The main objective is therefore to move from raw data to a clear reading, based on reliable indicators, legible visualizations and comprehensible analyses.<\/p>\n

But producing figures isn’t enough. What’s missing is not a new indicator, but the translation of data into usable information. <\/p>\n

This is where storytelling<\/strong> comes in, an approach that transforms these figures into clear narratives.<\/p>\n

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Data Storytelling: making sense of HR data<\/h2>\n

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What is data storytelling applied to HR?<\/h3>\n

Data Storytelling<\/strong> is the art of telling a story using data to better visualize and understand it.<\/p>\n

The goal is not to create charts, but to build a clear narrative around the data.<\/p>\n

The aim is to make it easy for the manager to understand :<\/p>\n