The data culture en businesses has become a key performance factor. However, many organisations struggle to transform their data initiatives into tangible value. A well-conducted diagnosis goes beyond evaluating systems: it reveals how employees understand, use, and share data on a daily basis.
Companies are increasing projects involving data. Cloud platforms, catalogues, analytical tools: everything seems to be in place to make data a driver of performance. However, many programmes are stagnating or struggling to generate value.
The problem isn't solely with the technologies, but often with the Company culture.
One Diagnostic data allows for the assessment of an organisation's maturity: infrastructure, governance, business uses. But it also reveals something else, less visible: the collective relationship with data.
Distrust of figures, low team buy-in, silos between departments: these cultural signals explain why two companies at the same technical level can have radically different trajectories.
A good diagnosis is therefore not a static audit, but a cultural mirror. It highlights how the organisation thinks, shares, and values its data.
In practice, many diagnostics focus on technological structure: platform type, data volume, catalogue existence, and pipeline performance.
But according to Gartner, 80 % des programmes data échouent not for a lack of tools, but rather non-adherence of trades. In other words: technical maturity is measured, but human maturity is forgotten.
Let's take the example of a financial services company. It invests in a comprehensive diagnostic: mapping of sources, governance audit, inventory of analytical uses. The final report is clear: strong infrastructure, but low adoption.
Why? Because the end-users, not involved in the process, did not understand the project's purpose. The reports are considered complex, the indicators are disputed, and the departments continue to use their local Excel files.
The diagnosis perfectly described the system, but it forgot to measure trust, collaboration and understanding. Yet, it is these cultural dimensions that determine the success of a data strategy.
They manifest in several ways:
A successful diagnosis must therefore reveal these weak signals and turn them into levers for action.
The key lies in the Co-production. Diagnostic data should not be conducted “on” trades, but with It becomes a tool for dialogue rather than a simple technical audit.
Three levers can make it a catalyst for transformation:
To better understand the difference between a purely technical approach and an adoption-oriented approach, here is a comparison table:
| Dimension | Diagnostic data technique | Adoption-oriented diagnostic data |
|---|---|---|
| Objective | Evaluate systems and tools | Measuring understanding, usage, and trust |
| Method | Documentary and technical analysis | Collaborative workshops, career interviews |
| Deliverables | Audit report, process mapping | Adoption roadmap and training plan |
| Results | Static vision technique | Collective mobilisation and sustainable change |
A data-driven adoption diagnosis goes beyond a mere technical snapshot. It engages teams, fosters a common language around data, and lays the groundwork for sustainable transformation.
At JEMS, we consider data diagnostics as a cultural starting point before it's a technical deliverable.
Our conviction: data only creates value when it is understood and used by those who need it most: the business departments.
This involves a pragmatic approach: observing behaviours, listening to needs, measuring maturity not only in terms of tools, but also in terms of’Acculturation.
We support organisations in building a sustainable data culture: awareness, shared governance, transformation steering.
The challenge is no longer about achieving a perfect “maturity score”, but about creating a collective dynamic where each employee sees data as a efficiency and decision-making lever.
A data diagnosis is not just a snapshot of the current situation. It reveals how a company collaborates, learns, and makes decisions.
Successful organisations are those that use this step to establish dialogue, align business vision and build a shared culture around data.
Data maturity isn't a destination: it's a journey. And on this journey, technology matters, but culture makes all the difference.
JEMS helps you transform your diagnostics into levers for engagement, collaboration, and sustainable performance.
