Digital transformation is no longer an option for Italian SMEs: it is a necessity. In particular, for SMEs active in manufacturing, logistics and production, the digitization of processes is the first, fundamental step to increase efficiency, quality and competitiveness. But where to start?

Widecons suggests a practical and modular approach to digitization, which starts at the automation and process control level and is based on three strategic steps: survey and collect data from the field that already exists, generate data where it is not yet available, and finally structure it in a centralized system (Database, Data Warehouse or Data Lake), and then analyze it through intelligent dashboards, apply predictive analytics, etc. etc.

Having presented the three strategic phases in the first part of the article, in this second and final part we will conclude with the applications (dashboards, predictive analytics, etc.)

Smart dashboards: the value of visible data

The immediate benefit of digitization is not limited to cost reduction: the real added value is the complete visibility of processes. Intuitive dashboards designed by Widecons allow:

• monitor in real time the delays and anomalies at a production stage;

• optimize flows by slowing down or speeding up subsequent steps to avoid overloads or downtime;

• identify the bottlenecks, productivity losses and recurring inefficiencies, often invisible without an overview.

In many SMEs, each machine has its own local panel, but lacks a centralized platform capable of aggregating and interpreting data in a systemic way.

The dashboards developed by Widecons bridge this gap, offering line leaders a single control panel for the entire production process, from raw data collection to KPI visualization.

From collection to predictive analysis

After several months of systematic collection of data, it is possible to apply predictive analysis algorithms to anticipate failures and optimize maintenance. There are two main tools:

• Supervised models: ideal when the company has a reliable failure history, with information on times, causes, and operating conditions.

• Unsupervised models: useful in the absence of a precise history, they detect anomalous patterns in the collected data, signaling deviations from normal behavior.

The prerequisite for both approaches is the presence of a consistent and complete historical.

Often, however, data are overlooked or deleted just when “everything is working,” preventing the establishment of the baseline metrics of normality.
And without normality, the anomaly is not recognizable.

Widecons guides and supports companies in building a reliable traceability system, helping them to:

• Identify relevant parameters;

• Keep data of optimal operating conditions in a structured way as well;

• Create the basis for truly effective predictive algorithms.

Specific applications: from prototyping to product history

The data collection also proves invaluable in the prototyping stages. In areas of high complexity such as. automotive e aerospace, it is essential to accurately monitor the performance of prototypes, so as to validate each component before the start of mass production.

In other industries – such as mechanics, plastics, food o textiles – the focus shifts to the traceability of the production history. Comparing the metrics of a current batch with those of defective batches from the past, it is possible to intercept potential problems in advance and prevent nonconforming products from being placed on the market.

In this way, the logics of defect reduction and of continuous improvement are no longer based only on experience or intuition, but become truly data-driven: driven by objective data analysis.

Customization and modular approach

Widecons operates with a modular and scalable approach, offering both ready-to-use finished products, as well as custom solutions e “semi-finished digital products”: ideal intermediate tools for companies that are already aware of the strategic value of data and want to gradually build a customized digital system.

This flexibility allows you to start small – for example with a pilot project of census and data collection from the field – and then gradually scale up toward broader integration, depending on the needs, the digital maturity of the enterprise, and the return on investment achieved.

In addition to technology development, Widecons also supports SMEs with operational consulting., supporting:

• the mapping of processes to be digitized,

• the elimination of waste with the tools of Lean Production,

• the choice of the most suitable tools (hardware, software, protocols),

• the assessment of economic and technical feasibility,

• and theaccess to incentives and calls related to Industry 4.0 e PNRR.

The result is a sustainable, customized and value-maximizing transformation path, capable of ferrying even the smallest entities to evolved, efficient and data-driven industrial management.

Sectors with a strong human component

Digitizing processes with high operator incidence is more complex, but possible. Widecons offers practical, tailor-made solutions that can adapt to the everyday life of those working in the field. Among the tools we offer:

• Barcode scanner to automatically record material pickup by the operator;

• Industrial tablets for real-time recording of material location or status;

• Wearable, accelerometers o enterprise smartphones to track movements, timing and operational sequences.

The choices depend on the production context, by the needs of the staff and the type of process to be digitized. However, even these seemingly less standardizable flows are Structurable, digitizable and integrable effectively into the production cycle, ensuring greater traceability, efficiency and operational safety.

Not only collection: also data generation and correlation

Digitizing means collecting, generating and especially correlating data in a useful and effective way. Using Excel spreadsheets disconnected from other business systems is an outdated and inefficient practice. A better solution involves, for example, the use of mobile apps or web interfaces with which operators enter data directly into the corporate database, avoiding dispersion and duplication.

This integration creates a living and responsive information ecosystem, where every piece of data-from the production machine to management management-contributes to enriching the enterprise’s knowledge and decision-making assets.

• At the operational level, data are collected from machines, plants, sensors and operators in the field.

• At the functional level, these data feed vertical systems such as WMS (warehouse management), quality, maintenance or production planning.

• At the management level, information is consolidated into ERP, CRM or business intelligence dashboard systems to support strategic decisions.

Digitizing, then, is not just computerizing a single activity, but building a continuous flow of data that connects the field to management, turning information into measurable competitive advantage.