Companies face difficulties obtaining accurate insights into production capacities and deviations, impacting optimization and quality control processes.
A lack of essential data from production lines and machines, primarily due to lack of connectivity, leads to inefficient operation and suboptimal utilization of resources.
Manual quality control procedures are labor-intensive and error-prone, affecting the overall quality of the products and services.
The dispersion of technical documentation delays maintenance activities, disrupts production schedules, and impacts operational efficiency.
Manual collection and processing of data are time-consuming and prone to errors, leading to inefficiency and suboptimal decision-making.
The inaccessibility and locality of data impede the seamless flow of information, causing operational inefficiencies and lack of unified insights.
Outdated systems limit business scalability and hinder the adoption of innovations essential for staying competitive in Industry 4.0.
Fragmented databases with abundant print materials make data management cumbersome and impede efficient use of organizational data resources.
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