Transformation – what does it mean and how should it be understood in the context of industrial digitalization?

Digital transformation is a term that appears in almost every discussion about the development of companies, technology, and industry. It is mentioned in the context of strategy, investments, organizational changes, or the implementation of new IT systems. Transformation – what does it mean in practice, especially for manufacturing companies? Is it a one-time project or a long-term process? And how can real business value be found in all of this, rather than just fashionable buzzwords?

In this article, we organize key concepts, present digital transformation through practical examples, and explain how to understand it from the perspective of manufacturing plants and process automation – without unnecessary theory, but with a clear focus on tangible outcomes.

The word “transformation” means a change in form, mode of operation, or structure. In a business context, however, it is not about cosmetic improvements, but about a well-thought-out change in how an organization operates – one that affects processes, roles, decisions, and the tools being used.

In practice, transformation:

Importantly, transformation is not always a revolution on a grand scale. In industry, it is more often a sequence of logical, planned steps based on analysis and business objectives.

Digital transformation is the process of using digital technologies to change how an organization operates, makes decisions, and achieves its business goals. In manufacturing plants, it does not come down to purchasing a new system or automating a single workstation.

In practice, it means:

Digital transformation in industry covers both the operational layer (OT) and the management layer (IT), and its effects become visible only when these two worlds begin to work together.

Automation is often the first step, but it is not the same as digital transformation. A production line can be automated while reporting is still done manually, data is analyzed in spreadsheets, and problems are addressed with delays.

In short:

In mature organizations, automation becomes part of a broader ecosystem – MES and ERP systems, production reporting platforms, energy management solutions, and quality management tools.

Theory is one thing, but how does it look in practice? Let us look at specific examples showing how digital transformation is implemented in manufacturing plants.

A manufacturing company replaces manual shift reports with an MES system that:

The result? Production managers respond immediately, not after the fact.

Digital transformation does not end on the shop floor. Integrating ERP with production allows companies to:

This is an example of a change that affects not only production, but also controlling and management.

Implementing an EMS or CMS system makes it possible to:

Transformation in this area directly translates into operational costs and environmental reporting.

From a practical perspective, transformation does not happen “all at once”. It usually consists of several stages:

Without understanding what data is collected, where losses occur, and which decisions are made “by intuition”, meaningful change is difficult.

Integrating machines, systems, and reporting tools is the foundation for further actions.

MES systems, production reporting, KPI dashboards – all to ensure that data is accessible, clear, and supports informed decisions.

Even the most advanced technology brings no results without changes in habits. Transformation also includes people and competencies.

Many companies declare digital transformation, but in practice face problems that hinder implementation. The most common mistakes include:

Understanding what transformation really means helps avoid these pitfalls already at the planning stage.

Digital transformation should not be an add-on to the strategy – it should result from it. In manufacturing companies, it most often supports goals such as:

Well-planned digital transformation does not involve implementing everything at once, but rather the consistent development of a digital environment tailored to the scale and needs of the organization.

Let us return to the initial question: transformation – what does it mean? In the industrial context, it can be defined as a conscious change in how a company operates, based on data, technology, and an understanding of processes.

Digital transformation:

When carried out properly, it delivers measurable results – from better production control, through lower costs, to greater organizational resilience. In this sense, it ceases to be an abstract concept and becomes a real tool for growth.