When the Information System Hinders Industrial Growth
As a driver of digital transformation in industrial organizations, our on-the-ground experience shows that growth very often puts the information system under strain.
In many industrial companies, certain situations tend to recur repeatedly :
- Gradual accumulation of applications
- Data duplication
- Unclear or non-existent data repositories
- Dependence on key personnel
- Excel used as a support for critical processes
These situations do not necessarily indicate a technological problem. They most often reveal a data architecture that is insufficiently structured and governed.
At the heart of the issue is almost always the data.
Without a clear and coherent data architecture, it becomes difficult to ensure data quality and completeness, information traceability, security and compliance, as well as consistency across the various applications within the information system.
When temporary solutions become permanent
In most industrial organizations, solutions implemented to address an operational emergency often end up becoming long-term.
This often leads to the emergence of manual interfaces, multiple data re-entries, intermediate files, and a gradual loss of control over information flows.
Each solution added without a holistic vision further weakens the overall information system. Gradually, the IS becomes more complex, more fragile, and harder to evolve.
Excel is not the problem
In industrial organizations, Excel often plays a central role in business processes.
However, Excel is generally not the cause of the problem. It is rather a symptom of an insufficiently structured data organization.
Excel is often used to compensate for the lack of reliable repositories, to centralize critical business knowledge, or to manage processes that the information system does not adequately cover.
Le véritable enjeu n’est donc pas de supprimer Excel, mais de reconstruire une architecture data cohérente dans laquelle chaque outil possède un rôle clair et maîtrisé.
IT and Data Governance: A Strategic Lever
Supporting industrial organizations in their digital transformation highlights a key point: without IT and data governance, control over the information system quickly deteriorates.
In the absence of a clear framework, data multiplies uncontrollably, responsibilities become blurred, and decisions are based on incomplete or unreliable information.
An effective data governance, on the other hand, ensures data quality and completeness, security and compliance, as well as consistency across applications and processes.
It also enables the information system to be sustainably aligned with the company’s strategic objectives.
Modernizing an Industrial Information System Without Starting from Scratch
Contrary to popular belief, modernizing an industrial information system does not necessarily mean rebuilding everything from scratch.
In many industrial contexts, solid data models, a strong understanding of business processes, and usable application components already exist.
The real challenge is to restore coherence to the data architecture and the information system in order to ensure reliability, security, and scalability.
This notably involves establishing clearly defined data repositories, an integrated information system architecture, and sustainable data governance.
Transforming the Information System into a Performance Lever
At MOMsoft, we help industrial companies build data-centric information systems that are robust and capable of sustainably supporting their growth.
Our approach is based on clear IT and data governance, an integrated information system architecture, streamlined processes, and the securing of critical applications.
The goal is to turn the information system into a true lever for operational excellence, business performance, and resilience.
For more information :
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— MOMsoft | Innovating Excellence
Industrial digital transformation combining industry expertise, technological mastery, and pragmatic innovation
