People Analytics is now a top priority for many organizations. Yet one question keeps coming up: how long does it actually take to generate real value?
The short answer: it depends less on individuals… and more on the organization’s overall maturity.
Developing individual analytical skills is useful, but insufficient if the organizational environment does not enable those skills to be applied effectively. The challenge is not just about building expertise — it’s about developing a sustainable organizational capability.
According to several experts in the field, including Josh Bersin, it typically takes one to two years to build a People Analytics function. In practice, this timeline is often longer — especially when the foundational elements are not yet in place.
A critical prerequisite: data quality
Before anything else, data quality must be addressed.
Without reliable, consistent, and well-governed data, analytics efforts will deliver limited value — and may even undermine the credibility of HR teams. For organizations where this foundation is still weak, this step is essential.
Conversely, when data quality is strong, it becomes realistic to build a solid analytics capability within 12 to 24 months — provided the necessary effort is invested.
A practical reality: limited HR resources
In most organizations, HR teams do not have dedicated analytics resources. This makes it essential to adopt a pragmatic, phased approach aligned with this reality.
A structured, three-step approach can help organizations move forward effectively.
1. Assess the current state
The first step is to establish a clear baseline.
This includes asking key questions such as:
- What HR metrics are currently being tracked?
- Is reporting structured and automated, or manual and time-consuming?
- What is the current state of data quality and governance?
- Are privacy and data protection practices well established?
- Does the HR team have analytical capabilities — or can they be sourced elsewhere in the organization?
- What tools are already in place (BI, visualization, data integration)?
- Does HR leadership actively support these initiatives?
- Is there a data-driven culture within the organization?
This diagnostic helps identify gaps and provides a realistic starting point.
2. Define a clear target
Once the starting point is understood, the next step is to clarify objectives.
L’analytique RH couvre un large spectre :
du suivi d’indicateurs descriptifs… jusqu’aux modèles prédictifs et à l’intelligence artificielle.
Organizations should define:
- What key problems they are trying to solve
- Which decisions they want to improve
- What level of maturity they aim to reach in the short, medium, and long term
A phased approach is typically the most effective. Defining a 12-, 24-, and 36-month trajectory helps structure efforts and avoid scattered initiatives.
3. Build a realistic roadmap
The final step is to translate this vision into a concrete action plan.
This involves answering some key questions:
- Quels résultats sont recherchés (performance, expérience employé, réduction des risques, etc.) ?
- What are the main obstacles (budget, skills, tools, priorities)?
- Are there any time constraints or specific organizational requirements?
This step allows you to :
- Prioritizing high-value initiatives
- Identify required capabilities
- Select appropriate tools
- Avoid premature investments (e.g. recruiting highly advanced profiles too early)
It’s important to note that it’s not necessary to start with highly specialized resources such as data scientists. Value creation often starts with good data structuring and targeted analysis.
A key success factor: start with decisions, not technology
People analytics is not just about tools and technologies.
Above all, it is based on the ability to answer concrete business questions and support decision-making.
The most advanced organizations adopt an approach focused on :
- business issues
- decisions to be made
- actions to prioritize
Technologies – including artificial intelligence – then amplify this capacity.
In Conclusion
Developing HR analytical skills is a structuring process that takes time, but above all requires clarity and discipline.
Successful organizations are not those that aim for data perfection or technological sophistication from the outset, but those that :
- understand their starting point
- set a realistic target
- move forward in stages
- and remain focused on business value
At a time when HR decisions are becoming increasingly strategic, analytics is no longer a luxury – it’s an essential lever.
For organizations wishing to accelerate this process or structure their roadmap, the right support can make all the difference. At Kara, we support HR teams at every stage of their analytical maturity – from data structuring to the generation of actionable insights – in order to transform HR data into concrete decisions.
For more information, please contact us : HERE
