Common mistakes digitalising a factory from IT
Nowadays, few companies question the fact that digitalisation is key to remaining competitive in the industrial sector. However, transitioning from a traditional factory to a “digital factory” is not always straightforward. Many initiatives are driven by the IT (Information Technologies) department, aiming to modernise operations and harness the power of data. But if the reality of the plant environment (OT, Operational Technologies) is not considered, the project can end up being more of a headache than a step forward. Digitalising a factory is not simply about installing sensors or software. It requires an understanding of processes, people and machines that have been operating for years under logics very different from those of an office. Let’s look at some of the most common mistakes made when digitalisation is led solely by IT. 1. Treating the factory as if it were an office In a corporate environment, devices tend to be homogeneous and easy to update. In contrast, an industrial plant may include machines that are 20 or 30 years old alongside modern systems, each with its own language and protocols. Trying to manage everything as if it were 'just another corporate network' often leads to frustration. 2. Not involving those who work on the plant floor A very common mistake is to design projects from an office, without speaking to production, maintenance or process engineering teams. Yet these are precisely the areas that understand the daily challenges firsthand and can provide a practical perspective on what’s actually needed. Without their involvement, technology risks being perceived as something imposed and not particularly useful — and most likely not very effective — because the main stakeholders are left out of the needs definition process. 3. Forgetting that the factory cannot stop One of the biggest misunderstandings when digitalising from IT is underestimating the cost of interruption in a plant. In an office environment, shutting down servers or applying security patches overnight or at weekends is standard practice, since the operational impact is limited. In contrast, the rules are very different in industrial environments: Many factories operate 24/7, with continuous shifts and tight delivery commitments. An unplanned stoppage of just 30 minutes can cost the company thousands or even millions of euros, depending on the production line and product being manufactured. Beyond the economic impact, an unexpected machine restart can pose safety risks for operators or damage in-process products that cannot be recovered, affecting product quality or increasing waste. When new digital solutions are introduced — whether monitoring systems, software updates, industrial networks or data integration — IT often proposes maintenance windows or interventions as if it were a corporate setting. This is where a clash with the plant reality occurs: there’s not always a 'low activity window', and stopping a production line requires careful planning. This is why any digitalisation project must include from the outset a robust operational continuity plan that considers: Redundancy strategies: mirror or backup systems that allow operations to continue during updates or failures. Separating the IT and OT networks (essential). Testing in controlled environments before rolling out to the actual plant — test or quality servers before going live. Close coordination with production and maintenance to define the right time for interventions. Calculating the cost of each minute of downtime, so that IT understands the scale of the impact. In short, forgetting that the factory cannot stop is one of the most serious and frequent mistakes. Cyber Security Cloud Connectivity & IoT AI & Data Smart Data Path, the road to Industry 4.0 December 4, 2024 4. Thinking about technology before thinking about value It’s not uncommon to see data platforms, sensors or AI systems being implemented simply because they’re “trending”, without a clear definition of what business problem they’re solving. Digitalisation should not be a technology showcase, but a tool to deliver tangible value: improved efficiency, reduced costs, better quality, safety or traceability. It’s essential to define or understand the needs of the plant firsthand and, based on that list, find the right technology to meet those needs. Doing it the other way around often creates problems during implementation, as requirements begin to emerge that the chosen technology cannot fulfil — and these needs went unidentified because they were never properly analysed. 5. Creating pilots that don’t scale Another common mistake is developing small pilot projects that work well in isolation but were never designed to scale or integrate with the rest of the systems. This creates a 'technology island' that is hard to maintain and even harder to connect with the wider organisation. A solid digital strategy should be scalable and built with long-term integration in mind. Conclusion Digitalising a factory is not just an IT issue, nor only an OT one. It’s a joint effort that requires cross-functional collaboration, strategic vision and a deep understanding of the specific characteristics of the industrial environment. Success doesn’t lie in deploying the latest technology, but in using it as a means to drive business improvement. Listening to those operating the plant, planning with continuity and safety in mind, and investing in scalable solutions are fundamental steps to make digital transformation both real and sustainable. The factory of the future won’t be built overnight, but it can start being designed today — by avoiding these common mistakes and embracing a shared vision between IT and OT. 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