Data Storytelling: turning data into decisions

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

The evidence is clear: raw data doesn’t speak for itself.

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.

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.

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

So how do you get your data to talk? How can data storytelling become a lever for transforming your HR function? Here’s how.

HR Analytics: why is your HR data still untapped?

The HR data paradox: abundance without exploitation

Companies have a wealth of HR data data: recruitment, performance, mobility, skills, absenteeism, turnover, diversity, employee career paths…

Yet this information often goes untapped.

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.

According to a Top Employers 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)

HR Analytics: transforming raw data into strategic decisions

HR Analytics has emerged as a response to this problem.

It consists of using employee data in a structured way: recruitment, performance, mobility, skills, absenteeism, turnover, diversity, employee career paths to produce usable analyses for HR teams and managers.

The challenge is to link these dimensions to reveal global trends.

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

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

This is where storytelling comes in, an approach that transforms these figures into clear narratives.

Data Storytelling: making sense of HR data

What is data storytelling applied to HR?

Data Storytelling is the art of telling a story using data to better visualize and understand it.

The goal is not to create charts, but to build a clear narrative around the data.

The aim is to make it easy for the manager to understand :

• Data context
• Issues and possible causes of certain results
• Actions to be taken

By giving meaning to figures, storytelling transforms data into a coherent, engaging and actionable narrative.

Why Is Visualization Essential for HR Teams?

The data HR are often complexes and multidimensional.

The display allows you to :

• Simplicate complex phenomena (e.g. deconstructing the causes of high turnover)
• Raking information accessible to allincluding non–experts
• Facilitate decision-making by making insights usable

The choice of visuals is crucial.

The aim is to generate appropriate graphic representations so that when a manager consults an HR dashboard, he or she can understand at a glance what’s going on and what needs to be done.

Good visual storytelling plays a key role in the appropriation of analyses. Data ceases to be a collection of numbers and becomes a strategic decision-making tool.

BI & Data Science integration: from descriptive to predictive control

Integrate Data Science into your HR data storytelling strategy

The benefits of integrating Data Science into BI models is to connect operational or decision-making reporting with predictive analysis. Until now, dashboards displayed current and historical data.

Data Science adds an extra dimension: data for the future, to predict trends and anticipate.

This integration makes it possible to switch from one control mode to another:

• Descriptive piloting: we describe what has happened (e.g. turnover increased by 15% this quarter).
• Predictive steering: we forecast what is likely to happen (e.g.: this employee is likely to leave in the next 6 months).
• Prescriptive management: recommendations on what to do (e.g., offer internal mobility or a pay rise)

The challenge is to give HR teams access to advanced models directly in their dashboards (Power BITableau, Oracle Analytics Cloud) with consistent, reliable and governed data.

Use case: data storytelling to support your HR decisions

Among the most frequent use cases :

• Predicting turnover or absenteeism: identify at-risk employees before they leave
• Identify likely career paths: anticipate changes and prepare succession plans
• Automatic matching of CV, position or skills & opportunities : speed up recruitment and internal mobility
• Detecting weak signals linked to commitment: identifying declines in motivation before they translate into departures
• Optimizing training plans according to future skills: aligning training investments with real needs

These models enable us to move from descriptive management (understanding) to predictive management (anticipating) and prescriptive management (deciding and acting).

The benefits of a structured data storytelling strategy for HR

Data is only valuable if managers can understand and exploit the results.

The benefits are many:

• Faster, more relevant and more objective HR decisions
• Better anticipation of social risks: turnover, critical skills, disengagement
• Optimized allocation of human resources
• A better employee experience thanks to personalized career paths
• Improved dialogue between HR and managers, based on factual elements

Governance guarantees the reliability, security (GDPR), standardization and durability of analyses. Without it, data can become contradictory or obsolete.

Conclusion: transform your data into a lever for strategic decision-making

HR data is an often under-exploited resource. HR Analytics, combined with Data Storytelling and Data Science, can transform this mass of information into decision-making levers.

The challenge is no longer to collect data, but to make it understandable, exploitable and useful for decision-makers.

By moving from descriptive to predictive and prescriptive management, organizations gain in responsiveness, relevance and impact.

Data storytelling thus becomes a lever for HR transformation, capable of transforming the function from an administrative role to a strategic, data-driven and action-oriented one.

Would you like to structure your HR data storytelling approach?

For more than 35 years, SQORUS has been helping companies strategically leverage their HR data. From governance to data science integration, we turn your analytics into operational decisions.